Luo et al., 2018 - Google Patents
Effective outlier matches pruning algorithm for rigid pairwise point cloud registration using distance disparity matrixLuo et al., 2018
View PDF- Document ID
- 7280235201465900169
- Author
- Luo N
- Wang Q
- Publication year
- Publication venue
- IET Computer Vision
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Snippet
This study focuses on fast and robust outlier matches removal strategy to improve the efficiency and precision of initial alignment and further the quality of pairwise registration. Starts from the point matches obtained via feature detecting and matching, the distance …
- 239000011159 matrix material 0 title abstract description 15
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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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- 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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