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| A Two-step Stereo Matching Based on the Local Texture Features and Image Segmentation |
| CHEN Hua,ZHANG Zhi-juan,LIU Gang,HU Chun-hai,WANG Shu-tao |
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Abstract To solve the problem of meeting accuracy and speed requirements simultaneously, a two-step stereo matching method is proposed. According to the local texture features, a transform is adopted to the couple of images, and the reference image is segmented with mean shift algorithm, the first matching based on the support region with arbitrary shape and size was used to form a parallax constraint, then the second matching based on fixed window is adopted to obtain the initial disparity map. Finally, the disparity map is optimized by the different reliabilities classification. The experiment results show that the algorithm has higher matching speed and accuracy.
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Received: 07 January 2015
Published: 28 December 2016
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Corresponding Authors:
Hua CHEN
E-mail: chenhua@ysu.edu.cn
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2017, Vol. 38 
