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Semantic ScholarShape, Contour and Grouping in Computer Vision 1999
Shape, Contour and Grouping in Computer Vision 1999
David A. Forsyth, Joseph L. Mundy, Vito Di Gesù, Roberto Cipolla:
Shape, Contour and Grouping in Computer Vision. Lecture Notes in Computer Science 1681, Springer 1999, ISBN 3-540-66722-9
I Introduction
II Shape
- Jun Sato, Roberto Cipolla:
Quasi-Invariant Parameterisations and Their Applications in Computer Vision. 72-94
III Shading
- David J. Kriegman, Peter N. Belhumeur, Athinodoros S. Georghiades:
Representations for Recognition Under Variable Illumination. 95-131 - Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille:
Shadows, Shading, and Projective Ambiguity. 132-154
IV Grouping
- Jitendra Malik, Jianbo Shi, Serge J. Belongie, Thomas K. Leung:
Grouping in the Normalized Cut Framework. 155-164 - Frederik Schaffalitzky, Andrew Zisserman:
Geometric Grouping of Repeated Elements within Images. 165-181
V Representation and Recognition
- Cordelia Schmid, Andrew Zisserman, Roger Mohr:
Integrating Geometric and Photometric Information for Image Retrieval. 217-233 - Joseph L. Mundy, Tushar Saxena:
Towards the Integration of Geometric and Appearance-Based Object Recognition. 234-245 - Peter Henry Tu, Tushar Saxena, Richard I. Hartley:
Recognizing Objects Using Color-Annotated Adjacency Graphs. 246-263 - Antonio Chella, Vito Di Gesù, Ignazio Infantino, Daniela Intravaia, Cesare Valenti:
A Cooperating Strategy for Objects Recognition. 264-276
VI Statistics, Learning, and Recognition
- Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio:
Object Recognition with Gradient-Based Learning. 319-
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