Hassan et al., 2024 - Google Patents
An Efficient Maximum Entropy Approach with Consensus Constraints for Robust Geometric FittingHassan et al., 2024
- Document ID
- 513517918160609581
- Author
- Hassan G
- Min Z
- Kakani V
- Jo G
- Publication year
- Publication venue
- Electronics
External Links
Snippet
Robust geometric fitting is one of the crucial and fundamental problems in computer vision and pattern recognition. While random sampling and consensus maximization have been popular strategies for robust fitting, finding a balance between optimization quality and …
- 238000013459 approach 0 title description 7
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06T2207/10024—Color image
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- G—PHYSICS
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- G06K9/20—Image acquisition
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- G—PHYSICS
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