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1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97)
Object Recognition Using Appearance-Based Parts and Relations
Puerto Rico
June 17-June 19
ISBN: 0-8186-7822-4
Chien-Yuan Huang, The Pennsylvania State University
Octavia I. Camps, The Pennsylvania State University
Tapas Kanungo, Caere Corporation
The recognition of general three-dimensional objects in cluttered scenes is a challenging problem. In particular, the design of a good representation suitable to model large numbers of generic objects that is also robust to occlusion has been an stumbling block in achieving success. In this paper, we propose a representation using appearance-based parts and relations to overcome these problems. Appearance-based parts and relations are defined in terms of closed regions and the union of these regions, respectively. The regions are segmented using the MDL principle, and their appearance is obtained from collection of images and compactly represented by parametric manifolds in the two eigenspaces spanned by the parts and the relations.
Index Terms:
Object representation, object recognition, MDL segmentation, appearance-based representation.
Citation:
Chien-Yuan Huang, Octavia I. Camps, Tapas Kanungo, "Object Recognition Using Appearance-Based Parts and Relations," cvpr, pp.877, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997
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