Computational Photography and Videography

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Computational Photography and Videography. Christian Theobalt and Ivo Ihrke Winter term 09/10. Coordinates. MPI – room 019 Wednesdays, 14:00 c.t. Christian Theobalt MPI, room 228 theobalt@mpii.de Ivo Ihrke MPI, room 225 ihrke@mpii.de Mailing List seminar-cpav09@mpi-inf.mpg.de - PowerPoint PPT Presentation

Text of Computational Photography and Videography

  • Computational Photography and VideographyChristian Theobalt and Ivo IhrkeWinter term 09/10

    CPAV 09/10 First Meeting 2009/10/23

    CoordinatesMPI room 019Wednesdays, 14:00 c.t.Christian TheobaltMPI, room 228theobalt@mpii.deIvo IhrkeMPI, room 225ihrke@mpii.deMailing Listseminar-cpav09@mpi-inf.mpg.deWeb Pagehttp://www.mpi-inf.mpg.de/~theobalt/courses/Seminar_WS_2009/

    CPAV 09/10 First Meeting 2009/10/23

    Formal RequirementsPresence requiredRead all papers and participate in discussionOne paper is your paper and you have to give a 40-45 minute presentation on itPrepare a written report on the topic you presentedGrade: talk 50 %, report 50 %

    CPAV 09/10 First Meeting 2009/10/23

    Organizational IssuesRegister by sending an Email to both of usTopic assignmentSend list of ordered preferences by Friday (23rd of Oct.)We try to accommodate wishes as well as possibleWe send out assignment on Monday, 26th of Oct.

    First topic presentation 2009/11/18(10 students)

    CPAV 09/10 First Meeting 2009/10/23

    BenefitsPractice one of the most important skills in scienceRead and understand papersPresent scientific resultsDiscussion is essentialIf you dont participate you miss a big chanceMost ideas are developed in discussions about other papersPrepare the seminar classes !Benefit from the interaction in the group !

    CPAV 09/10 First Meeting 2009/10/23

    Organizational IssuesTopics will be covered in the order appearing on the seminar web pageIf necessary, and mutually agreed on, dates can be exchanged

    Presentations45 min. presenter leads the discussion on the papersAll participants are supposed to read the papersActive participation in discussion is expected

    CPAV 09/10 First Meeting 2009/10/23

    Organizational IssuesTwo scheduled meetings per topic1. 3 weeks prior to presentationRead papers for this meetingAsk questions if you have difficultiesDiscuss plans for presentation2. 1 week prior to presentationprepare a preliminary presentation We can provide feedback

    CPAV 09/10 First Meeting 2009/10/23

    Organizational Issuesone office hour per weekAnnounced on seminar web pageYou can ask questions by e-mail any time

    CPAV 09/10 First Meeting 2009/10/23

    Organizational IssuesReport6 8 pages summary of major ideas of your topic2 - 3 pages with your own ideas, e.g.,Discuss limitations not mentioned in the paper and sketch a solutionTry to suggest improvementsNovel ideas based on content described in the papersYour ideas can be the result of the discussion after your presentation !

    The idea is that you get a feeling for your specific topic surpassing the level of simply understanding a paper.

    CPAV 09/10 First Meeting 2009/10/23

    Organizational IssuesReportDue date 2010/02/19 (2 1/2 weeks after last seminar)Pdf by e-mailWe provide a LaTeX-style on the seminar pageIf you use other software make it look like the LaTeX-example

    CPAV 09/10 First Meeting 2009/10/23

    Image-Based Rendering Concepts

    Adelson & Bergen: The plenoptic function and elements of early vision, Computational Models of Visual Processing 1991Levoy & Hanrahan: Light Field Rendering, SIGGRAPH96

    CPAV 09/10 First Meeting 2009/10/23

    Camera Models and Noise

    Healy & Kondepudy: Radiometric CCD Calibration and Noise Estimation, PAMI 1994Kolb et al.: A Realistic Camera Model for Computer Graphics, SIGGRAPH 1995

    CPAV 09/10 First Meeting 2009/10/23

    Geometric Camera Calibration

    Zhang: A flexible new technique for camera calibration, PAMI 2000Hartley & Zisserman, Multiple View Geometry in Computer Vision, chapter 5, Cambridge University Press, 2000

    CPAV 09/10 First Meeting 2009/10/23

    Fourier Analysis of Light Fields

    Isaksen et al.: Dynamically Reparameterized Light Fields, SIGGRAPH 2000Ng: Fourier Slice Photography, SIGGRAPH 2005

    CPAV 09/10 First Meeting 2009/10/23

    Light Field Capture with Non-Refractive Modulators

    Veeraraghavan et al: Dappled Photography: Mask-Enhanced Cameras for Heterodyned Light Fields and Coded Aperture Refocusing, SIGGRAPH 2007Lanman et al: Shield Fields: Modeling and Capturing 3D Occluders, SIGGRAPH Asia 2008

    CPAV 09/10 First Meeting 2009/10/23

    Multi-View Basics

    Laurentini: The Visual Hull Concept for Silhouette-Based Image Understanding, PAMI 1994Matusik et al.: Image-Based Visual Hulls, SIGGRAPH 2000

    CPAV 09/10 First Meeting 2009/10/23

    Multi-view Stereo for Static and Dynamic Scenes

    Furukawa et al., Accurate, Dense, and Robust Multi-view Stereopsis , CVPR 2007Zitnick et al., High-Quality Video View Interpolation Using a Layered Representation, SIGGRAPH 2004

    CPAV 09/10 First Meeting 2009/10/23

    Marker-less Motion Capture

    Bregler et al., tracking people with twists and exponential maps, CVPR 1998Balan et al., detailed human shape and pose from images

    CPAV 09/10 First Meeting 2009/10/23

    Marker-less Performance Capture

    Vlasic et al., Articulated Mesh Animation from Multi-view Silhouettes, SIGGRAPH 2008De Aguiar et al., Performance Capture from Sparse Multi-view Video, SIGGRAPH 2008

    CPAV 09/10 First Meeting 2009/10/23

    Video Recinematography

    Gleicher et al., Re-Cinematography: Improving the Camerawork of Casual Video, ACM TOMCCAPFeng Liu et al., Content-Preserving Warps for 3D Video Stabilization, SIGGRAPH 2009

    CPAV 09/10 First Meeting 2009/10/23

    Reconstruction from Community Photo Collections

    Snavely et al., Photo Tourism: Exploring image collections in 3D, SIGGRAPH 2006Goesele et al., Multi-View Stereo for Community Photo Collections, ICCV 2008

    CPAV 09/10 First Meeting 2009/10/23

    Reconstruction with Time-of-Flight Cameras

    Fusion of Time-of-Flight Depth and Stereo for High Accuracy Depth Maps (PDF), Jiejie Zhu, Liang Wang, Ruigang Yang and James Davis, CVPR 2008Hebert et al., 3d measurements from imaging laser radars: How good are they?, IVC 1992