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Ao et al., 2020 - Google Patents

A repeatable and robust local reference frame for 3D surface matching

Ao et al., 2020

Document ID
11063738292685091955
Author
Ao S
Guo Y
Tian J
Tian Y
Li D
Publication year
Publication venue
Pattern Recognition

External Links

Snippet

Local reference frames (LRFs) have been widely used for 3D local surface description. In this work, we propose a repeatable LRF with strong robustness to different nuisances. Different from existing LRF methods, the proposed LRF uses a part of neighboring points …
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Classifications

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    • 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
    • G06K9/6211—Matching configurations of points or features, e.g. constellation matching
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