A Trinocular Stereo-Matching Algorithm Based on Adaptive Support-Weight for Mobile Service Robot

Wu Xin Huang

doi:10.4028/www.scientific.net/AMR.490-495.1733

Paper Titles

Analysis of Directional Accuracy of Three Single Arrays
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Air Targets Recognition Based on Feature Analysis and Particle Swarm Optimization K-Means Clustering
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The Application of Double Closed-Loop Unit Gain Negative Feedback and BP Neural Network Controller in Single Inverted Pendulum
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The Design and Test for the Intermittent Work-Style Drying System
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A Trinocular Stereo-Matching Algorithm Based on Adaptive Support-Weight for Mobile Service Robot
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Stage Boom Machinery Control Based on Adaptive Fuzzy PID
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The Study on Oil Pollution Environmental Treatment Based on Micro-Biological Degradation
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The Research Status and Development Trend on the Test and Diagnostic Techniques of Engineering Machinery
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A Circuit to Realize the Repetitive Operation of Underwater Corona Discharge in the Application of Water Treatment
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495A Trinocular Stereo-Matching Algorithm Based on...

A Trinocular Stereo-Matching Algorithm Based on Adaptive Support-Weight for Mobile Service Robot

Abstract:

A trinocular stereo-matching algorithm based on adaptive support-weight and disparity adjustment has been proposed to improve the accuracy of trinocular vision. Adaptive support-weight which is an efficient window selection method in binocular stereo is applied in the trinocular stereo. A robust target image selection method is also proposed for using the information of different target images in trinocular stereo-vision system efficiently. So occlusion can be handled well by this means. The vision system is tested in the project Family Life Support Multi-Robot Systems.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1733-1737

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.1733

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Online since:

March 2012

Authors:

Wu Xin Huang

Keywords:

Adaptive Support-Weight, Machine Vision, Target Image Selection, Trinocular Stereo-Matching

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