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On deformable models for visual pattern recognition
Kwok Wai CHEUNG
*
, Dit Yan Yeung
, Roland T. CHIN
*
Corresponding author for this work
Department of Computer Science
Office of the President and Vice-Chancellor
Research output
:
Contribution to journal
›
Journal article
›
peer-review
31
Citations (Scopus)
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Dive into the research topics of 'On deformable models for visual pattern recognition'. Together they form a unique fingerprint.
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Keyphrases
Deformable Models
100%
Visual Pattern Recognition
100%
Non-rigid Shapes
100%
Model Matching
100%
Conventional Algorithm
50%
Pattern Classification
50%
Deformable
50%
Model-based Method
50%
Optimization Criterion
50%
Rigid Model
50%
Classification Model
50%
Review Model
50%
Shape Recognition
50%
Model Representation
50%
Computer Science
Pattern Recognition
100%
Deformable Model
100%
Conventional Algorithm
50%
Research Direction
50%
Potential Application
50%
Pattern Classification
50%
Representation Model
50%
Optimization Criterion
50%
Classification Models
50%
Shape Recognition
50%
Matching Model
50%
Engineering
Pattern Recognition
100%
Deformable Model
100%
Potential Application
50%
Model Review
50%
Matching Model
50%
Shape Recognition
50%