Shape, contour, and grouping in computer vision
By: David A. Forsyth ... [et al.] (eds.).
Contributors: Forsyth, David.
Series: Lecture notes in computer science -- 1681
Publisher: Springer
Published: 1999
Place of publication: Berlin; New York
Language: eng
Number of pages: 345
Subjects: Computer vision; Optical pattern recognition
Notes: Proceedings of an international workshop.

Includes bibliographical references and index.
Table of contents: title: An empirical-statistical agenda for recognition / David Forsyth; title: A formal-physical agenda for recognition / Joe Mundy; title: Shape models and object recognition / Jean Ponce ... [et al.]; title: Order structure, correspondence, and shape based categories / Stefan Carlsson; title: Quasi-invariant parameterisations and their applications in computer vision / Jun Sato and Roberto Cipolla; title: Representations for recognition under variable illumination / David J. Kriegman, Peter N. Belhumeur, and Athinodoros S. Georghiades; title: Shadows, shading, and projecctive ambiguity / Peter N. Belhumeur, David J. Kriegman, and Alan L. Yuille; title: Grouping in the normalized cut framework / Jitendra Malik ... [et al.]; title: Geometric grouping of repeated elements within images / Frederik Schaffalitzky and Andrew Zisserman; title: Constrained symmetry for change detection / Rupert W. Curwen and Joe L. Mundy; title: Grouping based on coupled diffusion maps / Marc Proesmans and Luc Van Gool; title: Integrating geometric and photometric information for image retrieval / Cordelia Schmid, Andrew Zisserman, and Roger Mohr; title: Towards the integration of geometric and appearance-based object recognition / Joe Mundy and Tushar Saxena; title: Recognizing objects using color-annotated adjacency graphs / Peter Tu, Tushar Saxena, and Richard Hartley; title: A cooperating strategy for objects recognition / Antonio Chella ... [et al.]; title: Model selection for two view geometry : a review / Philip H.S. Torr; title: Finding objects by grouping primitives / David Forsyth, John Haddon, and Sergey Ioffe; title: Object recognition with gradient-based learning / Yann LeCun ... [et al.].