A Robust Color Pseudo-Random Coded Structured Light Technique for the Recognition of 3D Object

Zhen Ying Xu; Ran Ran Xu; Dan Dan Cao; Yun Wang

doi:10.4028/www.scientific.net/KEM.464.24

Paper Titles

Optimization Methods of High-Speed Machining Processing Based on Fuzzy Neural Network
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Trajectory Recognition and Navigation Control in the Mobile Robot
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Online Monitoring System for Micro-Hole Drilling Based on Rough Set Fuzzy Control
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Mechanical Properties Evaluation of Nanofiber/Webs
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A Robust Color Pseudo-Random Coded Structured Light Technique for the Recognition of 3D Object
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Experiment and Analysis of Squirrel Cage Asynchronous Magnetic Coupling
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Investigation on the Effect of Thickness to Sheet Metal Treated by Laser Peen Forming
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Classification and Recognition of Plant Leaf Based on Neural Networks
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Water Level Control Embedded Fuzzy-PID and Pole-Placement Strategy
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 464A Robust Color Pseudo-Random Coded Structured...

A Robust Color Pseudo-Random Coded Structured Light Technique for the Recognition of 3D Object

Abstract:

A new robust structured light technique based on multi-valued pseudo-random color encoded pattern is discussed in this paper. After analyzing the advantages and disadvantages of the existing pseudo-random coding patterns in computer vision, a new multi-valued pseudo-random color encoded pattern is designed on the basis of the combination of the feature points and the feature lines. Using this pattern, the feature points are easy to extract, and the problems of leaking points and pseudo-feature points are greatly reduced. Furthermore, it also reduced the difficulty and the complexity of the feature matching because of the feature lines.

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Periodical:

Key Engineering Materials (Volume 464)

Pages:

24-27

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.464.24

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Online since:

January 2011

Authors:

Zhen Ying Xu, Ran Ran Xu, Dan Dan Cao, Yun Wang

Keywords:

Array, Coding, Computer Vision, Pattern, Pseudo Random Sequence, Structured Light

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