Abstract
We propose a new stereo matching approach based on the adaptive support-weight of local window. First, we use the truncated absolute differences cost function to compute the disparity space image. Second, we redefine the support-weight of a local window which is evaluated according to two factors such as color difference and space distance between a pixel and its center pixel in the local window. Finally, we aggregate the matching cost based on the support weight and use the winner-take-all method to compute the disparity map. In order to improve method’s speed, we design an efficient support-weight calculation way. The results of the experiment show that our approach can compute the accurate disparity than other methods.
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Sui, L., Gao, B., Zhang, B. (2012). A New Stereo Matching Method Based on the Adaptive Support-Weight Window. In: Wang, F.L., Lei, J., Lau, R.W.H., Zhang, J. (eds) Multimedia and Signal Processing. CMSP 2012. Communications in Computer and Information Science, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35286-7_19
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DOI: https://doi.org/10.1007/978-3-642-35286-7_19
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