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| Stereo Matching Based on the Fusion of Color Segmentation and Weighted Non-parametric Transform |
| CHEN Hua,ZHANG Zhi-juan,LIU Gang,WANG Shu-tao,ZHANG Yu-yan |
| Key Laboratory of Measurement Technology and Instrumentation of Hebei Province,Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract Aiming at the limitations of the traditional non-parametric transformation, a stereo matching algorithm is proposed. One matching cost based on support region with arbitrary shape and size is obtained by using color segmentation information of the reference image, and another matching cost of weighted non-parametric transform in similar color region is obtained, then joint matching cost is obtained by the fusion of the both matching cost, and the dense disparity map is realized through the local optimization method. The experiment results show that the algorithm can improve the accuracy of the low texture, borders and occlusion regions. At the same time, it is robust against the amplitude distortion.
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Received: 04 May 2015
Published: 16 June 2017
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| Fund:Research on GPS information ontology interoperability Methods |
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Corresponding Authors:
Hua CHEN
E-mail: chenhua@ysu.edu.cn
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2017, Vol. 38 
