Google
Google Scholar
MS Academic
CiteSeerX
CORE
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-
maintained by 
at 
at 
data released under the ODC-BY 1.0 license; see also our legal information page
last updated on 2017-06-25 23:28 CEST by the dblp team