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Index trees for accelerating deformable template matching

delete2002-10-01
delete1
PRE
AI
L
Lifeng Liu
S
Stan Sclaroff
DOI：10.1016/S0167-8655(02)00108-3delete
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Abstract

Abstract

En 中文
An improved method for deformable shape-based object detection and segmentation is described. A pre-computed index tree is used to improve the speed of deformable template fitting. Simple shape features are used as keys in a pregenerated index tree of model instances. A coarse to fine indexing scheme is used at different levels of the tree to further improve speed. The index tree approach is demonstrated as an improvement to a previously-reported template-based region segmentation system. Experimental results show that when index trees are used, the speedup is significant while accuracy of shape-based indexing is maintained. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
deformable templates
index tree
template matching
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Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

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