吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 317-321.

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Joint stereo matching based on image segmentation and variable windows

HU Han-ping1,2,3, ZHU Ming1, JI Shu-jiao1,2, GUO Bin3   

  1. 1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
    2. Graduate School, Chinese Academy of Sciences, Beijing, 100039, China;
    3. Changchun University of Science and Technology, Changchun, 130022, China
  • Received:2012-07-03 Published:2013-06-01

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Abstract:

A stereo matching based on image segmentation and variable windows is presented was proposed.Firstly,the reference and the target image was segmented based on the color information,according to the hypothesis of disparity in the same color segmentation region smooth,the matching cost of segmented regions was calculated,and then the matching cost of the best variable windows was calculated through the average matching errors,error variance and biases error,at last,two categories matching cost were merged and the dense disparity map was abtained through local optimization.Experimental results show that the algorithm can get a good effect on low texture and discontinuous depth region,not only achieves high accuracy but also has shorter matching time.

Key words: joint stereo matching, disparity, image segmentation, variable windows, matching cost

CLC Number: 

  • Q811.9

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