Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching-Reference-Cited by-同舟云学术

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Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching

Published:2021-02 Issue: Volume:169 Page:108362
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Shengchun,Wang Hao,Zhou Yunlai,Liu Junbo,Dai Peng,Du Xinyu,Abdel Wahab Magd

Funder

National Natural Science Foundation of China

China Academy of Railway Sciences Corporation Limited

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference21 articles.

1. Defect detection method for rail surface based on line-structured light;Cao;Measurement,2020

2. Distortion calibrating method of measuring rail profile based on local affine invariant feature descriptor;Wang;Measurement,2017

3. Kernel-based object tracking;Comaniciu;IEEE Trans. Pattern Anal. Mach. Intell.,2003

4. Object tracking using SIFT features and mean shift;Zhou;Comput. Vis. Image Underst.,2009

5. Sequential kernel density approximation and its application to real-time visual tracking;Han;IEEE Trans. Pattern Anal. Mach. Intell.,2008

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