Perceptual Organization of Linear Perceptual Organization of Linear StructuresStructures

Laurent Alquier

Computer Vision Team

LGI2P Institute

NIMES - France

Email: alquier@eerie.fr

POCV'98

ObjectivesObjectives

Complete system Perceptual Organization of

Complex Scenes Use of Curved Features Robust to noise

POCV'98

Detection of contoursDetection of contours

POCV'98

DescriptionDescription

Contour detection Selection of salient structures Extraction of Primitive Features Organization of hypotheses Application to Junctions detection and

matching

http://www.eerie.fr/~vision/alquier/publi/po-workshop/

For a complete description

POCV'98

ContributionsContributions

Saliency Networks– Generic formalism– New algorithm for optimization – Heuristics for grouping

References

Shashua and Ullman, 1991 - Alter and Basri, 1997

POCV'98

Detection of salient groupsDetection of salient groups

POCV'98

Contributions (2)Contributions (2)

Grouping of hypothesis and fitting– Segments, Arcs, Points of Interest

Graphs of relationships Generic framework - specialized modules Multi-scale

References

Mohan and Nevatia, 1992 - Sarkar and Boyer, 1993

Gao and Wong, 1993

POCV'98

Hypotheses of segments and arcsHypotheses of segments and arcs

POCV'98

Contributions (3)Contributions (3)

Perceptual organization of Junctions Structural Matching Temporal matching - Perceptual matching

References

Matas and Kittler, 1993 - Chang and Aggarwal, 1997

POCV'98

Detection of junctionsDetection of junctions

POCV'98

Current ResultsCurrent Results

Stable results in cluttered imagesGeneric parametersReasonable time on typical computersQualitative results only

POCV'98

Application to satellite imagingApplication to satellite imaging

POCV'98

PerspectivesPerspectives

Multi-scale detectionQuantitative evaluation of resultsValidation of hypothesesHierarchical matching

http://www.eerie.fr/~vision/alquier/index.html

Additional information