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Matching Point Features with Ordered Geometric, Rigidity, and Disparity Constraints
Xiaoping Hu
,
Narendra Ahuja
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Coordinated Science Lab
National Center for Supercomputing Applications (NCSA)
Research output
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peer-review
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Keyphrases
Point Feature
100%
Geometric Constraints
100%
Matching Algorithm
100%
Rigid Object
100%
Rigidity Constraint
100%
Geometric Rigidity
100%
Disparity Constraint
100%
Three-dimensional (3D)
50%
Two Dimensional
50%
Computational Complexity
50%
Intensity-based
50%
Feature Detector
50%
Point Correspondence
50%
Geometric Relationships
50%
Indoor Image
50%
Outdoor Images
50%
Epipolar Line
50%
Feature Correspondence
50%
Geometric Tests
50%
Test Match
50%
Computer Science
Matching Algorithm
100%
Computational Complexity
50%
Experimental Result
50%
Feature Detector
50%
Disparity Value
50%