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  1. IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL).
  2. 2000 Proceedings Workshop on Content-based Access of Image and Video Libraries
  3. Matching with shape contexts
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Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001)
2000 Proceedings Workshop on Content-based Access of Image and Video Libraries
Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries
Using artificial queries to evaluate image retrieval
Image retrieval: feature primitives, feature representation, and relevance feedback
Color indexing using wavelet-based salient points
Matching with shape contexts
Region correspondence for image matching via EMD flow
A factor graph framework for semantic indexing and retrieval in video
Content description for efficient video navigation, browsing and personalization
A system for effortless content annotation to unfold the semantics in videos
Query expansion for imperfect speech: applications in distributed learning
Semantic access of frontal face images: the expression-invariant problem
Bayesian relevance feedback for content-based image retrieval
Relevance feedback decision trees in content-based image retrieval
Modeling spatial relationships between color sets
Interval hash tree: an efficient index structure for searching object queries in large image databases
Index trees for efficient deformable shape-based retrieval
Content based image retrieval through object extraction and querying
AutoAlbum: clustering digital photographs using probabilistic model merging
Toward perception-based image retrieval
Mathematical modeling of image database complexity
A hidden Markov model approach to the structure of documentaries
Index of authors
Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL'99)
Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173)
1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries

Matching with shape contexts

Content Provider IEEE Xplore Digital Library
Author Belongie, S. Malik, J.
Copyright Year 2000
Description Author affiliation: Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA (Belongie, S.)
Abstract We introduce a new shape descriptor, the shape context, for measuring shape similarity and recovering point correspondences. The shape context describes the coarse arrangement of the shape with respect to a point inside or on the boundary of the shape. We use the shape context as a vector-valued attribute in a bipartite graph matching framework. Our proposed method makes use of a relatively small number of sample points selected from the set of detected edges; no special landmarks or keypoints are necessary. Tolerance and/or invariance to common image transformations are available within our framework. Using examples involving both silhouettes and edge images, we demonstrate how the solution to the graph matching problem provides us with correspondences and a dissimilarity score that can be used for object recognition and similarity-based retrieval.
Starting Page 20
Ending Page 26
File Size 265979
Page Count 7
File Format PDF
ISBN 076950695X
DOI 10.1109/IVL.2000.853834
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2000-06-12
Publisher Place USA
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Image matching
Content Type Text
Resource Type Article
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