3D Object Recognition in Cluttered Scenes With Robust Shape Description and Correspondence Selection

3D Object Recognition in Cluttered Scenes With Robust Shape Description and Correspondence Selection

Recognizing 3-D objects in cluttered scenes is a challenging task. Common approaches find potential feature correspondences between a scene and candidate models by matching sampled local shape descriptors and select a few correspondences with the highest descriptor similarity to identify models that...

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Bibliographic Details
Main Authors: Keke Tang, Peng Song, Xiaoping Chen
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
3-D object recognition
shape descriptor
correspondence selection
shape matching
Online Access:https://ieeexplore.ieee.org/document/7843593/

Internet

https://ieeexplore.ieee.org/document/7843593/

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