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

doi:10.3969/j.issn.1000-1158.2017.01.16

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Acta Metrologica Sinica ›› 2017, Vol. 38 ›› Issue (1) : 73-77. DOI: 10.3969/j.issn.1000-1158.2017.01.16

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.

Key words

metrology / two-step stereo matching / local texture features / image segmentation / parallax constraint

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CHEN Hua,ZHANG Zhi-juan,LIU Gang,HU Chun-hai,WANG Shu-tao. A Two-step Stereo Matching Based on the Local Texture Features and Image Segmentation[J]. Acta Metrologica Sinica. 2017, 38(1): 73-77 https://doi.org/10.3969/j.issn.1000-1158.2017.01.16

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