Lu et al., 2017 - Google Patents
Three-dimensional object recognition using an extensible local surface descriptorLu et al., 2017
View PDF- Document ID
- 13923713807969846053
- Author
- Lu R
- Zhu F
- Wu Q
- Hao Y
- Publication year
- Publication venue
- Optical engineering
External Links
Snippet
We present an extensible local feature descriptor that can encode both geometric and photometric information. We first construct a unique and stable local reference frame (LRF) using the sphere neighboring points of a feature point. Then, all the neighboring points are …
- 230000001131 transforming 0 abstract description 19
Classifications
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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
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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- G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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