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Perceptual Organization of Linear Structures

This work focuses on the perceptual organization of complex scenes, particularly through contour detection and the use of curved features. It presents a complete system for identifying salient structures and extracting primitive features, especially in cluttered images. Contributions include innovative saliency networks, a new optimization algorithm, and heuristics for grouping hypotheses. The framework enables robust detection of junctions and spatial relationships, with applications in satellite imaging and multi-scale detection. For more information, visit the project's homepage.

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Perceptual Organization of Linear Structures

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  1. Perceptual Organization of Linear Structures Laurent Alquier Computer Vision Team LGI2P Institute NIMES - France Email: alquier@eerie.fr

  2. Objectives • Complete system • Perceptual Organization of Complex Scenes • Use of Curved Features • Robust to noise POCV'98

  3. Detection of contours POCV'98

  4. Description • 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

  5. Contributions • Saliency Networks • Generic formalism • New algorithm for optimization • Heuristics for grouping References Shashua and Ullman, 1991 - Alter and Basri, 1997 POCV'98

  6. Detection of salient groups POCV'98

  7. 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

  8. Hypotheses of segments and arcs POCV'98

  9. Contributions (3) • Perceptual organization of Junctions • Structural Matching • Temporal matching - Perceptual matching References Matas and Kittler, 1993 - Chang and Aggarwal, 1997 POCV'98

  10. Detection of junctions POCV'98

  11. Current Results • Stable results in cluttered images • Generic parameters • Reasonable time on typical computers • Qualitative results only POCV'98

  12. Application to satellite imaging POCV'98

  13. Perspectives • Multi-scale detection • Quantitative evaluation of results • Validation of hypotheses • Hierarchical matching Additional information http://www.eerie.fr/~vision/alquier/index.html POCV'98

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