http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Shape, contour, and grouping in computer vision
1 online resource (viii, 345 pages) : illustrations
An empirical-statistical agenda for recognition / David Forsyth -- A formal-physical agenda for recognition / Joe Mundy -- Shape models and object recognition / Jean Ponce [and others] -- Order structure, correspondence, and shape based categories / Stefan Carlsson -- Quasi-invariant parameterisations and their applications in computer vision / Jun Sato and Roberto Cipolla -- Representations for recognition under variable illumination / David J. Kriegman, Peter N. Belhumeur, and Athinodoros S. Georghiades -- Shadows, shading, and projecctive ambiguity / Peter N. Belhumeur, David J. Kriegman, and Alan L. Yuille -- Grouping in the normalized cut framework / Jitendra Malik [and others] -- Geometric grouping of repeated elements within images / Frederik Schaffalitzky and Andrew Zisserman -- Constrained symmetry for change detection / Rupert W. Curwen and Joe L. Mundy -- Grouping based on coupled diffusion maps / Marc Proesmans and Luc Van Gool -- Integrating geometric and photometric information for image retrieval / Cordelia Schmid, Andrew Zisserman, and Roger Mohr -- Towards the integration of geometric and appearance-based object recognition / Joe Mundy and Tushar Saxena -- Recognizing objects using color-annotated adjacency graphs / Peter Tu, Tushar Saxena, and Richard Hartley -- A cooperating strategy for objects recognition / Antonio Chella [and others] -- Model selection for two view geometry : a review / Philip H.S. Torr -- Finding objects by grouping primitives / David Forsyth, John Haddon, and Sergey Ioffe -- Object recognition with gradient-based learning / Yann LeCun [and others].
Proceedings of an international workshop.
Includes bibliographical references and index.
Reconnaissance optique des formes (Informatique)
Lecture notes in computer science ; 1681