MEN Yubo, ZHANG Guoyin, MEN Chaoguang, LI Xiang, MA Ning. A Stereo Matching Algorithm Based on Four-Moded Census and Relative Confidence Plane Fitting[J]. Chinese Journal of Electronics, 2015, 24(4): 807-812. doi: 10.1049/cje.2015.10.024
Citation: MEN Yubo, ZHANG Guoyin, MEN Chaoguang, LI Xiang, MA Ning. A Stereo Matching Algorithm Based on Four-Moded Census and Relative Confidence Plane Fitting[J]. Chinese Journal of Electronics, 2015, 24(4): 807-812. doi: 10.1049/cje.2015.10.024

A Stereo Matching Algorithm Based on Four-Moded Census and Relative Confidence Plane Fitting

doi: 10.1049/cje.2015.10.024
  • Received Date: 2015-03-31
  • Rev Recd Date: 2015-05-06
  • Publish Date: 2015-10-10
  • A four-moded Census transform stereo matching algorithm using bidirectional constraint dynamic programming and relative confidence plane fitting is proposed to solve the problems of matching quality. Using the four-moded Census transform which adds a restrictive condition replaces traditional Census transform to improve matching accuracy and mean value of all pixels intensity replaces the center pixel intensity in the Census window to solve the problem of the center pixel distortion effectively, a refined initial local matching cost can be obtained. During the disparity optimization, the difficulty of disparity computation in textureless areas is overcome by the estimated condition and defined relative confident pixels. Experiment results show that a better dense matching map can be obtained by the proposed algorithm.
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  • M.Z. Brown, D.Burschka and G.D. Hager, "Advances in computational stereo", IEEE Transactions on Pattern Analysis &Machine Intelligence, Vol.25, No.8, pp.993-1008, 2003.
    D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms", International Journal of Computer Vision, Vol.47, pp.7-42, 2002.
    A. Hosni, C. Rhemann, M. Bleyer, et al., "Fast cost-volume filtering for visual correspondence and beyond", IEEE Transactions on Pattern Analysis & Machine Intelligence, Vol.35, No.2, pp.3017-3024, 2013.
    Yinghui WANG, Bing XIAO and Qiongfang WANG, "Stereo matching for face images based on feature points", Chinese Journal of Electronics, Vol.19, No.2, pp.241-244, 2010.
    R. Zabih and J. Woodfill, "Non-parametric local transforms for computing visual correspondence", Computer Vision-ECCV, Stockholm, Sweden, pp.47-56, 1994.
    Zucheul Lee, et al., "Local disparity Estimation with threemoded cross Census and advanced support weight", IEEE Transactions on Multimedia, Vol.15, No.9, pp.1855-1864, 2013.
    W. James MacLean, Siraj Sabihuddin and Jamin Islam, "Leveraging cost matrix structure for hardware implementation of stereo disparity computation using dynamic programming", Computer Vision and Image Understanding, Vol.114, No.11, pp.1126-1138, 2010.
    Martin Humenberger, Tobias Engelke and Wilfried Kubinger, "A Census-based stereo vision algorithm using modified semiglobal matching and plane fitting to improve matching quality", IEEE Computer Society Conference on Computer Vision & Pattern Recognition Workshops, San Francisco, USA, pp.77- 84, 2010.
    D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24, No.5, pp.603-619, 2002.
    L. Wang, R. Yang, M. Gong, and M. Liao, "Real-time stereo using approximated joint bilateral filtering and dynamic programming", Journal of Real-Time Image Processing, Vol.9, No.3, pp.447-461, 2014.
    Y. Shan, Y. Hao, W. Wang, et al., "Hardware acceleration for an accurate stereo vision system using mini-Census adaptive support region", ACM Transactions on Embedded Computing Systems, Vol.13, No.4, pp.392-398, 2014.
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