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Zhou et al., 2022 - Google Patents

MaskNet++: Inlier/outlier identification for two point clouds

Zhou et al., 2022

Document ID
9419322813672144956
Author
Zhou R
Wang H
Li X
Guo Y
Dai C
Jiang W
Publication year
Publication venue
Computers & graphics

External Links

Snippet

Since point clouds are collected from different views and may be affected by sensors, reflective surfaces or other artifacts, they are often incomplete and may contain a significant amount of outliers. Thus, inlier/outlier identification is necessarily required as the first stage …
Continue reading at www.sciencedirect.com (other versions)

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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