Acta Optica Sinica, Volume. 38, Issue 1, 0115004(2018)
Dense Stereo Matching Based on Cross-Scale Guided Image Filtering
[1] Scharstein D, Szeliski R, Zabih R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[C]. IEEE Stereo and Multi-Baseline Vision, 47, 7-42(2002).
[3] Kim J C, Lee K M, Choi B T. A dense stereo matching using two-pass dynamic programming with generalized ground control points[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, 1075-1082(2005).
[4] Luo W J, Schwing A G, Urtasun R. Efficient deep learning for stereo matching[C]. IEEE Conference on Computer Vision and Pattern Recognition, 5695-5703(2016).
[6] Kanade T, Okutomi M. A stereo matching algorithm with an adaptive window: Theory and experiment[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 920-932(1994).
[10] Rhemann C, Hosni A, Bleyer M et al. Fast cost-volume filtering for visual correspondence and beyond[C]. IEEE Conference on Computer Vision and Pattern Recognition, 3017-3024(2011).
[13] Zhu S P, Yan L N, Li Z. Stereo matching algorithm based on improved Census transform and dynamic.
[14] Crow F C. Summed-area tables for texture mapping[C]. ACM Conference on Computer Graphics and Interactive Techniques, 207-212(1984).
[15] Pires B R, Singh K. Moura J M F. Approximating image filters with box filters[C]. IEEE International Conference on Image Processing, 85-88(2011).
[17] Liu J, Zhang J X, Dai Y. Dense stereo matching based on region growing[J]. Robot, 39, 182-188(2017).
[21] Wang L, Yang R G. Global stereo matching leveraged by sparse ground control points[C]. IEEE Conference on Computer Vision and Pattern Recognition, 3033-3040(2011).
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Jie Liu, Jianxun Zhang, Yu Dai, He Su. Dense Stereo Matching Based on Cross-Scale Guided Image Filtering[J]. Acta Optica Sinica, 2018, 38(1): 0115004
Category: Machine Vision
Received: Jul. 19, 2017
Accepted: --
Published Online: Aug. 31, 2018
The Author Email: Liu Jie (liu_j@mail.nan)