Arthur Ardeshir GoshtasbyProfessor

Computer Science and Engineering DepartmentWright State University

Dayton, OH 45435

Telephone: 937-775-5170 Fax: 937-775-5133

Email: arrthur.goshtasby@wright.eduURL: http://www.cs.wright.edu/~agoshtas/

CITIZENSHIPU.S.A.

EDUCATIONInstitution Concentration Degree/Date

University of Tokyo Electronics Engineering B.E. / March 74University of Kentucky Computer Science M.S. / Dec. 75Michigan State University Computer Science Ph.D. / Aug. 83

AWARDSTitle of Award Granting Association Date

Faculty of the Year WSU, College of ECS May 07Excellence in Research WSU, College of ECS May 04Excellence in Research WSU, College of ECS May 99William Fisher Memorial Award Environment Research

Institute of MichiganMay 83

PRINTED SCHOLARSHIP

Books 1. A. Goshtasby, 2-D and 3-D Image Registration, Wiley Press, 2005.2. A. Goshtasby, Image Registration: Principles, Tools, and Methods, Springer,

2012.

Journal Special Issues Edited

2. Special Issue of Pattern Recognition on Image Registration, Pergamon Press, A. Goshtasby and J. Lemoigne, NASA Goddard, Jan. 1999.

3. Special Issue of Computer Vision and Image Understanding on Volume Image Analysis, A. Goshtasby M. Sonka (University of Iowa) and J. Udupa (University of Pennsylvania), Feb. 2000.

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4. Special Issue of Computer Vision and Image Understanding on Nonrigid Image Registration, A. Goshtasby, D. Terzopoulos (University of Toronto), L. Staib (Yale University), and C. Studholme (University of California), San Francisco, vol. 89, 2003.

5. Special Issue of Information Fusion on Image Fusion, A. Goshtasby and S. Nikolov (University of Bristol, UK), Aug. 2007.

Articles Published in Peer Reviewed Journals6. A. Goshtasby, S. Gage, and J. Bartholic, “A Two-Stage Cross-Correlation

Approach to Template Matching,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 6, no. 3, 1984, pp. 374–378.

7. A. Goshtasby and G. Stockman, “Point Pattern Matching Using Convex Hull Edges,” IEEE Trans. Systems, Man, and Cybernetics, vol. 15, no. 5, 1985, pp. 631–637.

8. A. Goshtasby, “Description and Discrimination of Planar Shapes Using Shape Matrices,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 7, no. 6,1985, pp. 738–743.

9. A. Goshtasby, “Template Matching in Rotated Images,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 7, no. 3, 1985, pp. 338–344.

10. A. Goshtasby, G. Stockman, and C. Page, “A Region-Based Approach to Digital Image Registration with Subpixel Accuracy,” IEEE Trans. Geoscience and Remote Sensing, vol. 24, no. 3, 1986, pp. 390–399.

11. A. Goshtasby, “Piecewise Linear Mapping Functions for Image Registration,” Pattern Recognition, vol. 6, 1986, pp. 459–466.

12. A. Goshtasby, “Registration of Images with Geometric Distortions,” IEEE Trans. Geoscience and Remote Sensing, vol. 26, no. 1, 1988, pp. 60–64.

13. A. Goshtasby and R. Ehrich, “Contextual Word Recognition Using Probabilistic Relaxation Labeling Process,” Pattern Recognition, vol. 21, no. 5, 1988, pp. 455–462.

14. A. Goshtasby, “Piecewise Cubic Mapping Functions for Image Registration,” Pattern Recognition, vol. 20, no. 5, 1987, pp. 525–533.

15. A. Goshtasby, “Correction of Image Deformation from Lens Distortion Using Bezier Patches,” Computer Vision, Graphics, and Image Processing, vol. 47, 1989, pp. 385–394.

16. A. Goshtasby, “Image Registration by Local Approximation Methods,” Image and Vision Computing, vol. 6, no. 4, 1988, pp. 255–261.

17. F. Cheng and A. Goshtasby, “A Parallel B-spline Surface Fitting Algorithm,” ACM Transactions on Graphics, vol. 8, no. 1, 1989, pp. 41–50.

18. A. Goshtasby, F. Cheng, and B. Barsky, “B-Spline Curves and Surfaces Viewed as Digital Filters,” Computer Vision, Graphics, and Image Processing, vol. 52, 1990, pp. 264–275.

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19. A. Goshtasby, “Gaussian Decomposition of Two-Dimensional Shapes: A Unified Representation for CAD and Vision Applications.” Pattern Recognition, vol. 25, no. 5, 1992, pp 463–472.

20. A. Goshtasby, D. Turner, and L. Ackerman, “Matching of Tomographic Image Slices,” IEEE Trans. Medical Imaging, vol. 11, no. 4, Dec. 1992, pp. 507–516.

21. A. Goshtasby, “Parametric Representation of Digital Shapes by Gaussian Functions,” Computer Aided Design, vol. 24, no. 12, Dec. 1992, pp. 659–665.

22. A. Goshtasby and W. O'Neill, “Surface Fitting to Scattered Data by a Sum of Gaussians,” Computer-Aided Geometric Design, vol. 10, 1993, pp. 143–156.

23. A. Goshtasby, “Design and Recovery of 2-D and 3-D Shapes Using Rational Gaussian Curves and Surfaces,” Int. J. Computer Vision, vol. 10, no. 3, 1993, pp. 233–256.

24. A. Goshtasby and W. Gruver, “Design of a Single-Lens Stereo Camera System,” Pattern Recognition, vol. 26, no. 6, 1993, pp. 923–938.

25. A. Goshtasby, “Recovering Scene Structures from Scattered Surface Points,” Pattern Recognition, vol. 26, no. 10, 1993, pp. 1543–1548.

26. A. Goshtasby, “On Edge Focusing,” Image and Vision Computing, vol. 12, no. 4, 1994, pp. 247–256.

27. A. Goshtasby and W. O’Neill, “Curve Fitting by a Sum of Gaussians,” Graphical Models and Image Processing, vol. 56, no. 4, 1994, pp. 281–288.

28. A. Goshtasby, “Geometric Modeling Using Rational Gaussian Curves and Surfaces,” Computer-Aided Design, May 1995, pp. 363–375

29. A. Goshtasby and H-L Shyu, “Edge Detection by Curve Fitting,” Image and Vision Computing, vol. 13, no. 3, 1995, pp. 169–177.

30. A. Goshtasby and D. A. Turner, “Segmentation of Cardiac Cine MR Images for Extraction of Right and Left Ventricular Chambers,” IEEE Trans. Medical Imaging, vol. 14, no. 1, 1995, pp. 56–64.

31. Z. Yue, A. Goshtasby, and L. V. Ackerman, “Automatic Detection of Rib Borders in Chest Radiographs,” IEEE Trans. Medical Imaging, vol. 14, no. 3, 1995, pp. 525–536.

32. A. Goshtasby and D. A. Turner, “Fusion of Short-Axis and Long-Axis Cardiac MR Images,” Computerized Medical Imaging and Graphics, vol. 20, no. 2, pp. 77–87, 1996.

33. M. Jackowski, A. Goshtasby, S. Bines, D. Roseman, C. Yu, “Correcting the Geometry and Color of Digital Images,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 10, 1997, pp. 1152–1158.

34. A. Goshtasby, S. Nambala, W. deRijk, and S. Campbell, “A System for Digital Construction of Gypsum Dental Casts,” IEEE Trans. Medical Imaging, vol. 16, no. 5, 1997, pp. 664–674.

35. A. Goshtasby, “Three-Dimensional Model Construction from Multiview Range Images: Survey with New Results,” Pattern Recognition, vol. 31, no. 11, 1998, pp. 1705–1714.

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36. L. Xu, M. Jackowski, A. Goshtasby, C. Yu, D. Roseman, and S. Bines, “Segmentation of Skin Cancer Images,” Image and Vision Computing, vol. 17, no. 1, 1999, pp. 65–74.

37. A. Goshtasby and J. Le Moigne, “Image Registration: Introduction,” Pattern Recognition, vol. 32, no. 1, 1999, pp. 1–2.

38. J. Cai and A. Goshtasby, “Detecting Human Faces in Color Images,” Image and Vision Computing, vol. 18, 1999, 63–75.

39. A. Goshtasby, M. Sonka, and J. Udupa, “Analysis of Volumetric Images,” Computer Vision and Image Understanding, vol. 77, 2000, pp. 79–83.

40. A. Goshtasby, “Grouping and Parametrizing Irregularly Spaced Points for Curve Fitting,” ACM Trans. Graphics, vol. 19, no. 3, 2000, pp. 185–203.

41. L. Ding and A. Goshtasby, “On the Canny Edge Detector,” Pattern Recognition, vol. 34, no. 3, 2001, pp. 721–725.

42. L. Ding and A. Goshtasby, “Volume Image Registration by Template Matching,” Image and Vision Computing, vol. 19, no. 12, 2001, pp. 821–832.

43. A. Goshtasby, “Parametric Circles and Sphere,” Computer-Aided Design, vol. 35, 2003, pp. 487–494.

44. M. Jackowski, M. Satter, and A. Goshtasby, “Approximating Digital Volumetric Shapes by Rational Gaussian Surfaces,” IEEE Trans. Visualization and Computer Graphics, vol. 9, no. 1, 2003, pp. 56–69.

45. A. Albamont and A. Goshtasby, “A Range Scanner with a Virtual Laser”, Image and Vision Computing, vol. 21, 2003, pp. 271–284.

46. A. Goshtasby, “A Weighted Mean Approach to Smooth Parametric Representation of Polygon Meshes,” The Visual Computer, vol. 20, no. 5, 2004, pp. 344–359.

47. A. Goshtasby, “Fusion of Multi-Exposure Images,” Image and Vision Computing, vol. 23, 2005, pp. 611–618.

48. A. Goshtasby, “Plus Curves and Surfaces,” The Visual Computer, vol. 21, 2005, pp. 4–16.

49. L. Zagorchev and A. Goshtasby, “A Paintbrush Laser Range Scanner,” Computer Vision and Image Understanding, vol. 101, 2006, pp. 65–86.

50. L. Zagorchev and A. Goshtasby, “A Comparative Study of Transformation Functions for Nonrigid Image Registration,” IEEE Trans. Image Processing, vol. 15, no. 3, 2006, pp. 529–538.

51. E. Kocak, E. Martin, M. Satter, A. Goshtasby, J. Mantil, S. Abdessalam, “Image Guidance During Abdominal Exploration for Recurrent Colorectal Cancer,” Annals of Surgical Oncology, Annals of Surgical Oncology, vol. 14, no. 2, Feb. 2007, pp. 405–410.

52. A. Goshtasby and S. Nikolov, "Image Fusion: Advances in the State of the Art," Information Fusion, vol. 8, 2007, pp. 114-118.

53. L. Zagorchev, A. Goshtasby, and M. Satter, "R-snakes," Image and Vision Computing, vol. 25, 2007, pp. 945-959.

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54. A. Goshtasby, “Surface Approximation to Scattered Lines,” Computer-Aided Design and Applications, vol. 4, nos. 1–4, 2007, pp. 277–286.

55. A. Goshtasby and M. Satter, “An Adaptive Window Mechanism for Image Smoothing,” Computer Vision and Image Understanding, vol. 111, 2008, 155–169.

56. D. Holtkamp and A. Goshtasby, “Precision Registration and Mosaicking of Multicamera Images,” IEEE Trans. Geoscience and Remote Sensing, vol. 47, no. 10, 3446-3455, 2009.

57. B. Jackson and A. Goshtasby, “Registering aerial video images using the projective constraint,” IEEE Trans. Image Processing, vol. 19, no. 3, 795-804, 2010.

58. L. Zagorchev and A. Goshtasby, “A curvature-adaptive implicit surface reconstruction for irregularly spaced points,” IEEE Trans. Visualization and Computer Graphics, vol. 18, no. 9, pp. 1460-1473, 2012.

59. Z. Wu and A. Goshtasby, “Adaptive image registration via hierarchical Voronoi subdivision,” IEEE Trans. Image Processing, vol. 21, no. 5, pp. 2464–2473, 2012.

60. M. Satter and A. Goshtasby, “Image dominant orientation detection using geometric gradients,” Computer Vision and Image Understanding, submitted.

Book Chapters61. A. Goshtasby, “Pattern Recognition,” Encyclopedia of Computer Science and

Technology, A. Kent and J. G. Williams (eds.), Marcel Dekker Publishing, New York, 1990, pp. 289–300.

62. A. Goshtasby, “Fitting Parametric Curves to Dense and Noisy Points,” Curve and Surface Fitting, A. Cohen, C. Rabut, and L. Schumaker (eds.), Vanderbilt University Press, 2000, pp. 227–236.

63. A. Goshtasby, “Approximating Digital Shapes by Parametric Surface,” Mathematical Methods for Curves and Surfaces, T. Lyche and L. L. Schumaker (eds.), Vanderbilt University Press, 2001, pp. 163–172.

64. A. Goshtasby, “A Weighted Linear Method for Approximation of Irregularly Spaced Data,” in Geometric Modeling and Computing, M. L. Lucian and M. Neamtu (eds.), Nashboro Press, Brentwood, TN, 2004, pp. 285–294.

65. M. Jackowski and A. Goshtasby, “A Computer Aided Design System for Segmentation of Volumetric Images,” Chapter 6 of Handbook of Biomedical Analysis, vol. 3, J. S. Suri, D. Wilson, and L. Swamy (eds.), 2005, pp. 251-272.

66. A. Goshtasby, “Registration of Multiview Images,” in Image Registration for Remote Sensing, Jacqueline Le Moigne, Nathan Netanyahu and Roger Eastman (Eds.), Cambridge Press, 2011, 153-178.

Papers Published in Full in Official Proceedings67. A. Goshtasby, A. Jain, and W. Enslin, “Automatic Digital Image Registration,”

Proc. 8th Int. Sym. Machine Processing of Remotely Sensed Data, 1982, pp. 347–352.

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68. A. Goshtasby and C. Page, “A Multiple Image Segmentation Technique with Subpixel Accuracy,” Proc. Computer Vision and Pattern Recognition, 1983, pp.157–158.

69. A. Goshtasby and C. Page, “Measurement of Disparity in Stereo Depth Perception,” 1983 Conf. on Artificial Intelligence, pp. 1–6.

70. A. Goshtasby and W. Enslin, “Registration of Rotated Images by Invariant Moments,” Proc. 17th Int. Sym. Remote Sensing of Environment, 1983, pp. 1033–1042.

71. A. Goshtasby, “A Refined Technique for Stereo Depth Perception,” Proc. IEEE Computer Society Workshop on Computer Vision, 1984, pp. 125–129.

72. A. Goshtasby and C. Page, “Image Matching by a Probabilistic Relaxation Labeling Process,” Proc. 7th Int. Joint Conf. Pattern Recognition, 1984, pp. 307–309.

73. A. Goshtasby, “Use of Finite State Machines is Segmentation of Radiograph Images,” Proc. SPIE 28th Int. Sym. on Optics and Electro-Optics, 1984, pp. 141–148.

74. A. Goshtasby, “Multiple-Scale Segmentation and Representation of Solid Plane Shapes,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1986, pp. 351–356.

75. A. Goshtasby, “Geometric Correction of Satellite Images Using Composite Transformation Functions,” Proc. 21st Int. Sym. Remote Sensing of Environment, October 1987, pp. 825–834.

76. A. Goshtasby, “Stereo Correspondence by Selective Search,” Proc. Japan Computer Vision Conference, Tsukuba, Japan, July 1989, pp. 1–8.

77. A. Goshtasby and D. Schonfeld, “Signal Representation Based on a Gaussian Decomposition,” Conference on Information Sciences and Systems, The Johns Hopkins University, March 20–22, 1991, pp. 613–618.

78. A. Goshtasby, “Image Processing Techniques in Visualization: A Tutorial,” Visualization ’91, San Diego, CA, Oct. 21–25, 1991.

79. A. Goshtasby and W. Gruver, “Design of a Single-Lens Stereo Camera System,” Image Understanding and Pattern Recognition Symposium, Sapporo, Japan, July 16–18, 1992, pp. II.69–76.

80. A. Goshtasby, “Surface Reconstruction from Scattered Measurements,” Curves and Surfaces in Computer Vision and Graphics III, Boston, MA, Nov. 15–20, 1992, pp. 247–256.

81. A. Goshtasby and F. Quek, “Using Gaussians in Image Filtering and Data Approximation,” IMACS World Congress, Atlanta, GA, July 4–8, 1994, vol. 1, pp. 193–195.

82. A. Goshtasby and D. A. Turner, “Fusion of Short-Axis and Long-Axis Cardiac MR Images,” IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, San Francisco, CA, June 21–22, 1996, pp. 202–211.

83. M. Satter and A. Goshtasby, “Registration of Deformed Images,” Image Registration Workshop, NASA Goddard Space Flight Center, Greenbelt, MD, Nov. 20–21, 1997, pp. 221–229.

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84. J. Cai, A. Goshtasby, and C. Yu, “Detecting Human Faces in Color Images,” Int’l Workshop on Multi-Media Database Management Systems, Aug. 5–7, 1998, pp. 124–131.

85. M. Jackowski and A. Goshtasby, “Interactive Tools for Image Segmentation,” 1999 SPIE Sym. Medical Imaging, San Diego, CA, Feb. 20–26, 1999, pp. 1063–1074.

86. L. Ding, T. Kularatna, A. Goshtasby, and M. Satter, “Volumetric Image Registration by Template Matching,” Medical Imaging 2000, San Diego, CA, Feb. 12–17, 2000, pp. 1235–1246.

87. M. Jackowski, A. Goshtasby, and M. Satter, “Representing 3-D Regions with Rational Gaussian Surfaces,” Medical Imaging 2000, San Diego, CA, Feb. 12–17, 2000, pp. 235–245.

88. Y. Li, A. Goshtasby, and O. Garcia, “Detecting and Tracking Human Faces in Videos,” Int’l Conference Pattern Recognition, Barcelona, Spain, Sept. 3–8, 2000, pp. 807–810.

89. R. Beichel, S. Mitchell, E. Sorantin, F. Leberl, A. Goshtasby, and M. Sonka, Shape- and Appearance-based Segmentation of Volumetric Medical Images, Int'l Conf. Image Processing, 2001, vol. II, pp. 589–592.

90. L. Ding and A. Goshtasby, Registration of multi-modal brain images using the rigidity constraint, 2nd IEEE Int’l Sym. Bioinformatics & Bioengineering, Nov. 4–6, 2001, pp. 1–6.

91. L. Zagorchev and A. Goshtasby, A Mechanism for Range Image Integration without Image Registration, 5th Int'l Conf. 3-D Digital Imaging and Modeling (3DIM2005), June 13-16, 2005, Ottawa, Ontario, Canada, pp. 126–133.

92. M. Jackowski and A. Goshtasby, A Computer-aided Design System for Revision of Segmentation Errors, Proc. Medical Image Computing and Computer-Assisted Intervention (MICCAI), vol. 2, Palm Springs, CA, Oct. 2005, pp. 717-724.

93. A. Goshtasby, Fusion of multifocus images to maximize image information, SPIE Defense and Security SYmposium, 17-21 April 2006, Orlando, Florida, 2006.

94. L. Zagorchev, A. Goshtasby, and M. Satter, Flow visualization for qualitative assessment of brain shift,  Medical Imaging 2006: VIsualization, Image Guided Procedures, and Displays, vol. 6141, San Diego, 2006.

95. A. Goshtasby, Surface Approximation to Scattered Lines, Int’l CAD Conf., Honolulu, HI, June 24–29, 2007.

96. R. Jacobsen, B. Scott, A. Goshtasby, J. Britton, and D. Smith, Metrology Guided Laser Micromachining of SiC for Mirrors, SPIE Optics & Photonics, San Diego, CA, 2007.

97. B. Jackson and A. Goshtasby, Image registration for video stabilization and motion detection, Int’l Conf. Software Engineering Research and Practice, Las Vegas, Nevada, July 2011.

98. L. Zagorchev, A. Goshtasby, K. Paulsen, T. McAllister, S. Young, and J. Weese, Manual annotation, 3-D shape reconstruction, and traumatic brain injury analysis, Int’l Workshop Multimodal Brain Image Analysis, Toronto, Canada, 2011.

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99. J. Camp and A. Goshtasby, Selecting intrinsic landmarks in range scans, 2nd Int’l Conf. 3-D Body Scanning Technologies, Lugano Switzerland, pp. 95–103, 2011.

100. B. Jackson and A. Goshtasby, Automated Streaming Imagery and Filter Selection, Int’l Conf. Software Engineering Research and Practice, Las Vegas, Nevada, July 2012.

101. D. Chivers and A. Goshtasby, Human Action Recognition in Videos via Principal Component Analysis of Motion Curves, Int’l Conf. Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, July 2012.

102. D. Chivers and A. Goshtasby, Learning and Recognizing Human Actions Using PCA and 3-D Motion Trajectories, Int’l Conf. Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, July 2012.

103. A. Goshtasby, Image registration viewed as an approximation problem, Approximation Theory 14, San Antonio, TX, April 7-10, 2013.

Abstracts104. Goshtasby, “Interpolation to Large Data Sets Using Bezier Curves and

Surfaces,” 35th SIAM Conference on Applied Geometry, 1987, p. A14.105. A. Goshtasby, “Gaussian-Blending Curves, Surfaces, and Volumes,” Second

SIAM Conference on Geometric Design, Tempe, AZ, Nov. 4–8, 1991, pp. A33–34.

106. A. Goshtasby, “Reconstruction of Cylindrical Objects in Tomographic Images,” IEEE Medical Imaging Conf., San Francisco, CA, Nov. 4–6, 1993, p. 150.

107. A. Goshtasby and E. H. Ko, “Geometric Modeling with Rational Gaussian Curves and Surfaces,” Third SIAM Conference on Geometric Design, Tempe, AZ, Nov. 1–5, 1993.

108. W. Krieger and A. Goshtasby, “Fitting Parametric Curves to Dense and Noisy Data,” 4th SIAM Conf. Geometric Design, Nashville, TN, Nov. 6–9, 1995.

109. A. Goshtasby, “Representing Cuts in Elastic Surfaces and Volumes,” 5th SIAM Conf. Geometric Design, Nashville, TN, Nov. 3–6, 1997.

110. A. Goshtasby, “Approximating Digital Shapes by Parametric Surfaces,” 5th Int’l Conf. Mathematical Methods for Curves and Surfaces, Oslo, Norway, June 29–July 4, 2000.

111. A. Goshtasby, "Control-line curves," Fifth Int'l Conf. Curves and Surfaces, St. Malo, France, June 27 - July 3, 2002.

112.A. Goshtasby and M. Satter, "User-assisted segmentation of tomographic images," Computer Assisted Radiology and Surgery (CARS), Paris, France, June 26-28, 2002.

113.A. Goshtasby, L. Staib, C. Studholme, and D. Terzopoulos, Nonrigid Image Registration: Guest Editors’ Introduction, Computer Vision and Image Understanding, pp 1–5, 2003.

114.A. Goshtasby, Approximation to Scattered Data Using Local Gradients, SIAM Conf. Geometric Design and Computing, Seattle, Washington, Nov. 10–13, 2003.

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115.A. Goshtasby, A Method for Parametric Representation of Polygon Meshes, SIAM Conf. Geometric Design and Computing, Seattle, Washington, Nov. 10– 13, 2003.

116.A. Goshtasby, Parametric curves and surfaces with tangent control, SIAM Conf. Geometric Design and Computing, Seattle, Washington, Nov. 10—13, 2003.

117.A. Goshtasby, Approximation to Scattered Lines, SIAM Conf. Geometric Design and Computing, Phoenix, AZ, Oct. 31–Nov. 3, 2005.

118.L. Zagorchev, A. Goshtasby, and M. Satter, Flow visualization for qualitative assessment of brain shift, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Displays, vol. 6141, San Diego, CA, 2006, 655–665.

119.A. Goshtasby, Fusion of multifocus images to maximize image information, Defense and Security Symposium, 17–21 April 2006, Orlando Florida, 2006.

Grants and Contracts

Summary of grants funded since joining WSUFunding Agency Total Budget Goshtasby’s Budget Dates Status

1. NIH $70,000 $30,000 1994 – 96 Funded2. NSF $159,306 $159,306 1995 – 99 Funded3. OAI $40,750 $40,750 1996 – 97 Funded4. NSF-REU $5,000 $5,000 1996 – 97 Funded5. OBR-Equip. $1,600,000 $110,000 1996 – 99 Funded6. NSF-REU $5,000 $5,000 1997 – 98 Funded7. NSF-Equip. $241,000 $70,000 1996 – 99 Funded8. NSF-REU $10,000 $5,000 1998 – 99 Funded9. KMC-WPAFB $125,000 $125,000 1998 – 99 Funded10. NSF-Travel $15,000 $7,000 1998 – 99 Funded11. NSF $209,287 $80,000 1999 – 01 Funded12. NSF-REU $15,000 $5,000 2000 – 01 Funded13. KMC-WPAFB $95,000 $95,000 2000 – 00 Funded14. WPAFB $86,000 $86,000 2000 – 01 Funded15. KMC $28,000 $28,000 2001 – 02 Funded16. OMI $110,000 $110,000 2002 – 02 Funded17. KMC $100,000 $100,000 2003 – 05 Funded18. NIH-OSU $440,420 $140,420 2004 – 06 Funded19. KMC $36,000 $36,000 2004 – 04 Funded20. KMC $98,000 $98,000 2005 – 06 Funded21. AFRL $175,000 $175,000 2005 – 09 Funded22. MDA-MLPC $225,000 $225,000 2005 – 07 Funded23. OBR $970,000 $0 2006 – 09 Funded24. NSF IGERT > $1M $0 2006 – 10 Funded25. E-Tailors $48,000 $48,000 2006 – 09 Funded26. AFRL $30,000 $30,000 2007 – 08 Funded27. SMART $64,000 $0 2009 – 20 Funded28. AFRL/DAGSI $66,571 $66,571 2010 – 11 Funded29. SMART $67,896 $0 2010 – 11 Funded30. FMI $129,269 $129,269 2011 – 11 Funded31. FMI $173,015 $173-015 2011 – 12 Funded32. FMI $17,005 $17,005 2012 – 12 Funded33. AFRL/DAGSI $67,272 $67,272 2012- 13 Funded34. FMI $217,035 $217,035 2012 – 13 Funded35. AFRL $60K $60K 2013 - 14 Funded

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RECENT GRADUATE STUDENTS/VISITING SCHOLARS John Camp, Ph.D., Graduated June 2012 Daniel Chivers, Ph.D., Graduated Dec. 2012 Xialu Yu, M.S., Graduated Aug. 2012 Michael Linger, Ph.D., Expecting April 2015 Brian Jackson, Ph.D., Expecting Dec. 2014 Chenyang Zhao, Ph.D., Expecting April 2015 Ferrer Wu, visiting doctoral student, Sept. 2010 – Sept. 2012 Wei Lin, visiting Associate Professor, 2/1/2011 – 1/31/2012 Hui Ding, visiting Associate Professor, 4/1/2011 – 3/31/2012 Stephen Carl, visiting Associate Professor, 9/1/11 – 2/1/2012

SERVICE AND ACADEMIC OUTREACH

Committee Service

Committee Position DatesCollege Library Member Sept. ’01 – Aug. ‘03College Library Chair Sept. ’00 – Aug. ‘01College Faculty Development Member Sept. ’00 – Aug. ‘03ITRI Director Search Member July ’00 – Aug. ’00 CSE Chair Evaluation Member Jan. ’00 – May ‘00Dept. Scholarship Chair Sept. ’01 – Aug. ’03 Dept. Bylaws Chair July ’00 – Mar. ‘01Dept. Graduate Member Sept. ’95 – Aug. ‘03Dept. Colloquium Member Sept. ’95 – Aug. ‘03Dept. Faculty Development Member Sept. ’98 – presentDept. Library Representative Sept. ’98 – Aug. ‘04Dept. Steering Committee Member Sept. ’03 – Aug. ‘04Dept. Search Committee Chair (during 2005) Sept. ’05 – Aug. ‘08Dept. Undergrad. Committee Member Sept. ’06 – June ’07 Dept. Library Representative Sept. ’07 – present Dept. Grad. Committee Director Sept. ’09 – presentDept. Steering Committee Member Sept. ’08 – June ‘09 College Faculty Development Member Sept. ’07 – June ‘10CSE Graduate Program Dir. Director June 09 – present Dept. Faculty Development Director Sept. ’11 – Sept. ‘12

Professional Service1. Associate Editor of Pattern Recognition, an international journal, 1994 –

2007.2. Exhibition Co-Chair of the IEEE EMBS ’97, Engineering in Medicine and

Biology Society’s Int’l Conf. held in Chicago, IL, Oct. 30 – Nov. 3, 1997.3. Guest Editor (jointly with Dr. J. LeMoigne, NASA, Goddard) of the special

issue of Pattern Recognition on image registration, January 1999.

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4. Guest Editor (jointly with Dr. M. Sonka of U. Iowa and Dr. J. Udupa of U. Pennsylvania) of the special issue of Computer Vision and Image Understanding on analysis of volumetric images, Feb. 2000.

5. Organizer (jointly with Dr. G. Wolberg of City College of New York and Dr. R. Szeliski of Microsoft Research) of the SIGGRAPH ’99 course on image warping and image registration, Aug. 1999.

6. Program Committee Member of Int’l Workshop Biomedical Image Registration, Bled, Slovania, Aug. 1999.

7. Program Committee Member of IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, Hilton Head Island, SC, June 2000.

8. Program Committee Member of IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, to be held in Hawaii, Dec. 2001.

9. Organizer (jointly with Demetri Terzopolous of University of Toronto and Alyn Rockwood of Mitsubishi Research Laboratory), SIGGRAPH ’01 course on Curves and Surfaces, Los Angeles, CA, Aug. 2001.

10. Chair and Organizer of session on Volume Image Processing, Int’l Conf. Image Processing, Thessaloniki, Greece, Oct. 2001.

11. Program Committee Member, Workshop on Biomedical Image Registration, Philadelpha, PA, June 2003.

12. Program Committee Member, 2nd IEEE Int’l Sym. Biomedical Imaging, April 2004.

13. Program Committee Member, CVPR Workshop on Articulated and Nonrigid Motion, June 27–July 2, 2004.

14. Program Committee Member, Canadian Conf. Computer and Robot Vision, May 2004.

15. Associate Editor of Information Fusion journal, 2005 – March 2012 16. Guest Editor (with Stavri Nikolov of U. Bristol) of a special issue of

Information Fusion on Image Fusion, June 2007.17. Organizer of CVPR Workshop on Image Registration and Fusion,

Minneapolis, MN, June 2007 (with Stavri Nikolov, U. Bristol).18. Program Committee Member, Int’l Symposium Biomedical Imaging, 2008.19. Program Committee Member, Int’l Geoscience and Remote Sensing

Symposium, 2009.20. Program Committee Member, Int’l Symposium Biomedical Imaging: From

Nano to Macro, 2009.21. Program Committee Member, IEEE 3DIM Workshop, 2009.22. Program Committee Member, Int’l Geoscience and Remote Sensing

Symposium, 2010.23. Organizer of CVPR 2012 Tutorial on Image registration, Colorado

Springs, Colorado.24. Program Committee Member of the Applications of Computer Vision

Conference, 2014.25. Organizer of CVPR Workshop on Registration of Very Large Images,

June 2014.

Research AccomplishmentsDr. Goshtasby’s research has focused on three related areas: geometric modeling, computer vision, and medical image analysis. Sample research accomplishments of the candidate in these areas are cited below.

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Geometric Modeling1. A. Goshtasby discovered the similarity between B-spline curve and surface

formulation and digital filters. This discovery made it possible to use the fast Fourier transform (FFT) to interpolate B-spline curves and surfaces to large point sets instead of solving a large system of equations. The discovery led to significant speed up of curve and surface fitting by B-splines. See the following paper for more details.

A. Goshtasby, F. Cheng, and B. Barsky “B-Spline Curves and Surfaces Viewed as Digital Filters,” Computer Vision, Graphics, and Image Processing, vol. 52, Nov. 1990, pp. 264–275.

2. A. Goshtasby formulated a parametric surface formulation, known as the rational Gaussian (RaG) surface, which can use an irregular grid of control points. Previous parametric surface formulations such as B-spline, Bézier, nonuniform rational B-spline (NURBS), and rational Bézier surfaces require a regular grid of control points. Data acquired by various science and engineering applications are irregularly spaced. For instance range data captured by structured light or other means in computer vision or voxels on a digital shape in a medical image do not form a regular grid. The surface formulation developed by the candidate can use regular as well as irregular sets of control points. This made it possible to design geometric models just like NURBS, but also recover shapes from irregularly spaced points. This work was published in two key papers that describe the properties of RaG surfaces and outline their applications in Geometric Modeling and Computer Vision:

A. Goshtasby, “Design and Recovery of 2-D and 3-D Shapes Using Rational Gaussian Curves and Surfaces,” Int. J. Computer Vision, vol. 10, no. 3, 1993, pp. 233–256.

A. Goshtasby, “Geometric Modeling Using Rational Gaussian Curves and Surfaces,” Computer-Aided Design, May 1995, pp. 363–375.

The RaG surface formulation improves upon the NURBS formulation. RaG as a design tool can create circles and spheres, often needed in design of industrial parts with fewer control points than NURBS. Moreover, circles and spheres obtained by the RaG formulation have a very high degree of continuity. The degree of continuity of circles and spheres generated by NURBS is one. More details on this can be found in:

A. Goshtasby, “Parametric Circles and Spheres,” Computer-Aided Design, vol. 35, 2003, pp. 487–494.

3. The RaG surface formulation has found various applications in Computer Vision and Medical Image Analysis. The formulation has a smoothness parameter, which can be appropriately set to produce surfaces at various smoothness levels. This makes it possible to fit surfaces to data sets containing various levels of noise. The smoothness parameter also makes it possible to create a shape or a geometric model at a desired level of detail or resolution, and enables creation of multiresolution models for transmission over the Internet. Another key application of RaGs is in image registration. If RaG surfaces are used as transformation functions in image registration, nonrigid images can be registered by knowing a

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scattered set of corresponding points in the images. The following papers outline some of the applications of RaGs.M. Jackowski, A. Goshtasby, S. Bines, D. Roseman, C. Yu, “Correcting the Geometry and Color of Digital Images,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 10, 1997, pp. 1152–1158.

M. Jackowski, M. Satter, and A. Goshtasby, “Approximating Digital Volumetric Shapes by Rational Gaussian Surfaces”, IEEE Trans. Visualization and Computer Graphics, vol. 9, no. 1, 2003, pp. 56–69.

M. Jackowski, M. Satter, and A. Goshtasby, “Approximating Digital Volumetric Shapes by Rational Gaussian Surfaces,” IEEE Trans. Visualization and Computer Graphics, vol. 9, no. 1, 2003, 56–69.

L. Zagorchev, A. Goshtasby, and M. Satter, "R-snakes," Image and Vision Computing, vol. 25, 2007, pp. 945-959.

A. Goshtasby, “Surface Approximation to Scattered Lines,” Computer-Aided Design and Applications, vol. 4, nos. 1–4, 2007, pp. 277–286.

Computer Vision1. Dr. Goshtasby has contributed greatly to the area of image matching and image

registration. His dissertation work developed an automatic method for registration of aerial and satellite images with rotational differences. This work was recognized as the best contributed work at the 17th Int’l Sym. Remote Sensing of Environment and won the prestigious William Fisher Memorial Award in 1983.

A. Goshtasby and W. Enslin, “Registration of Rotated Images by Invariant Moments,” Proc. 17th Int. Sym. Remote Sensing of Environment, 1983, pp. 1033–1042.

A. Goshtasby has studied all aspects of image registration, developing methods that improve upon the past methods including detection of feature points in images, finding correspondence between feature points, and determining transformation functions that align from rigid to nonrigid images. He suggested the use of thin-plate splines as transformation functions for registration of nonrigid images for the first time, which is heavily used today in registration of remote sensing and medical images. The candidate’s contributions in this area are outlined in the following papers:

A. Goshtasby, S. Gage, and J. Bartholic, “A Two-Stage Cross-Correlation Approach to Template Matching,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 6, no. 3, 1984, pp. 374–378.

A. Goshtasby and G. Stockman, “Point Pattern Matching Using Convex Hull Edges,” IEEE Trans. Systems, Man, and Cybernetics, vol. 15, no. 5, 1985, pp. 631–637.

A. Goshtasby, G. Stockman, and C. Page, “A Region-Based Approach to Digital Image Registration with Subpixel Accuracy,” IEEE Trans. Geoscience and Remote Sensing, vol. 24, no. 3, 1986, pp. 390–399.

A. Goshtasby, “Piecewise Linear Mapping Functions for Image Registration,” Pattern Recognition, vol. 6, 1986, pp. 459–466.

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A. Goshtasby, “Registration of Images with Geometric Distortions,” IEEE Trans. Geoscience and Remote Sensing, vol. 26, no. 1, 1988, pp. 60–64.

A. Goshtasby, “Piecewise Cubic Mapping Functions for Image Registration,” Pattern Recognition, vol. 20, no. 5, 1987, pp. 525–533.

A. Goshtasby, “Image Registration by Local Approximation Methods,” Image and Vision Computing, vol. 6, no. 4, 1988, pp. 255–261.

A. Goshtasby, D. Turner, and L. Ackerman, “Matching of Tomographic Image Slices,” IEEE Trans. Medical Imaging, vol. 11, no. 4, Dec. 1992, pp. 507–516.

A. Goshtasby and D. A. Turner, “Fusion of Short-Axis and Long-Axis Cardiac MR Images,” Computerized Medical Imaging and Graphics, vol. 20, no. 2, pp. 77–87, 1996.

L. Ding and A. Goshtasby, “Volume Image Registration by Template Matching,” Image and Vision Computing, vol. 19, no. 12, 2001, pp. 821–832.

A. Goshtasby and J. Le Moigne, “Image Registration”, Pattern Recognition, vol. 32, no. 1, 1999.

D. Holtkamp and A. Goshtasby, “Precision Registration and Mosaicking of Multicamera Images,” IEEE Trans. Geoscience and Remote Sensing, vol. 47, no. 10, 3446-3455, 2009.B. Jackson and A. Goshtasby, “Registering aerial video images using the projective constraint,” IEEE Trans. Image Processing, vol. 19, no. 3, 795-804, 2010.

Z. Wu and A. Goshtasby, “Adaptive image registration via hierarchical Voronoi subdivision,” IEEE Trans. Image Processing, vol. 21, no. 5, pp. 2464–2473, 2012.

2. A. Goshtasby has developed range scanners that do not use lasers. In a project funded by NIH, he developed a range scanner for scanning of dental casts that used white light and from the shadow profiles of very thin fibers computed range. In another development, he designed a four-head range scanner based on a virtual laser idea that could scan a person from four sides and create a 3-D model of the person automatically. He also developed methods to fill-in gaps in range images and render range images with smooth surfaces. These contributions are outlined in the following papers:

A. Goshtasby, “Recovering Scene Structures from Scattered Surface Points,” Pattern Recognition, vol. 26, no. 10, 1993, pp. 1543–1548.

A. Goshtasby, S. Nambala, W. deRijk, and S. Campbell, “A System for Digital Construction of Gypsum Dental Casts,” IEEE Trans. Medical Imaging, vol. 16, no. 5, Oct. 1997, pp. 664–674.

J. Albamont and A. Goshtasby, “A Range Scanner with a Virtual Laser”, Image and Vision Computing, 2003.

L. Zagorchev and A. Goshtasby, “A curvature-adaptive implicit surface reconstruction for irregularly spaced points,” IEEE Trans. Visualization and Computer Graphics, vol. 18, no. 9, pp. 1460-1473, 2012.

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3. A. Goshtasby has also developed a single-lens camera system capable of capturing stereo images using a hinged mirror. Stereo images obtained by this camera are already rectified, bypassing a cumbersome calibration step that is required to rectify stereo images. The details of this work are included in:

A. Goshtasby and W. Gruver, “Design of a Single-Lens Stereo Camera System,” Pattern Recognition, vol. 26, no. 6, 1993, pp. 923–938.

Medical Image Analysis1. Dr. Goshtasby has developed a computational method for automatic registration

of long-axis and short-axis cardiac MR images. This methodology, which combines information from two views of the heart, makes it possible to measure cardiac performance more accurately than traditional methods using single-view images. This work is still the only one that automatically combines information from short-axis and long-axis cardiac MR images today. The work is described in:

A. Goshtasby and D. A. Turner, “Fusion of Short-Axis and Long-Axis Cardiac MR Images,” Computerized Medical Imaging and Graphics, vol. 20, no. 2, pp. 77–87, 1996.

2. A. Goshtasby has developed an automated method for extraction of the left and right ventricular walls of the heart at different phases of the cardiac cycle, representing the walls with parametric surfaces for smooth viewing and visualization of the motion of the cardiac walls.

A. Goshtasby and D. A. Turner, “Segmentation of Cardiac Cine MR Images for Extraction of Right and Left Ventricular Chambers,” IEEE Trans. Medical Imaging, vol. 14, no. 1, 1995, pp. 56–64.

3. A. Goshtasby has supervised the development of an automated method for extracting rib borders in radiographic images, which improved upon the accuracy of previous methods.

Z. Yue, A. Goshtasby, and L. V. Ackerman, “Automatic Detection of Rib Borders in Chest Radiographs,” IEEE Trans. Medical Imaging, vol. 14, no. 3, 1995, pp. 525–536.

4. In a project funded by NSF Dr. Goshtasby led the development of an automatic method for segmentation and analysis of skin cancer image, which achieved an accuracy close that of an expert human.

L. Xu, M. Jackowski, A. Goshtasby, C. Yu, D. Roseman, and S. Bines, “Segmentation of Skin Cancer Images,” Image and Vision Computing, vol. 17, no. 1, 1999, pp. 65–74.

5. A. Goshtasby has supervised development of a volumetric image registration for the alignment of brain images. The strength of the method is in its ability to register images with considerable intensity and geometric differences.

L. Ding and A. Goshtasby, “Volume Image Registration by Template Matching,” Image and Vision Computing, vol. 19, no. 12, 2001, pp. 821–832.

6. A. Goshtasby’s main contribution in Medical Image Analysis has been the development of methods for 3-D or volumetric images. This effort led to a special

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issue of the Computer Vision and Image Understanding on volume image analysis. The collection of the work on volume image analysis is the only one of its kind in an archival journal.

A. Goshtasby, M. Sonka, J. Udupa, “Analysis of Volumetric Images,” Computer Vision and Image Understanding, vol. 77, 2000.

7. In a recently funded project by FMI, Inc., Dr. Goshtasby in close collaboration with Dr. Martin Satter, a medical physicist at Kettering medical Center developed methodology and software for delineation of coronary artery trees in CTA images. The software is being considered for commercialization.

Leadership ExperienceDr. Goshtasby is the Director of the Intelligent Systems Laboratory in the Department of Computer Science and Engineering, one of the most well-equipped laboratories within the College of Engineering and Computer Science with a long list of research funding from various sources and graduates at B.S., M.S., and Ph.D. levels. He is also the Director of the Graduate Program in the Computer Science and Engineering Department since 2009 supervising M.S. and Ph.D. students within the department. The CSE Ph.D. program recently received a high evaluation by internal and external reviewers.

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