A Novel Disparity Estimation Method Based on Multi-Block and Adaptive Window

Article Preview

Abstract:

Disparity estimation is a basic analytic method for images and video and is highly used in fields like stereo image coding, video retrieval and stereo image segmentation. This paper proposes a new disparity estimation method. In this paper, the superiority of the multi-block matching is analyzed. The new method based on the idea of block matching constructs a multi-block matching algorithm, thereby improving matching accuracy especially in the disparity discontinuous regions. A adaptive window method based on edge detect is proposed to select the best window.The experimental results based on the Middlebury stereo datasets demonstrate that our method can achieve a better performance.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

672-675

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Gupta R K, Cho S Y, Window-based approach for fast stereo correspondence, IET Computer Vision, vol. 7, no. 2, pp.123-134, (2013).

DOI: 10.1049/iet-cvi.2011.0077

Google Scholar

[2] Su X, Khoshgofiaar T M, Arbitrarily-shaped window based stereo matching using the go- light optimization algorithm, Image Processing, 2007. ICIP 2007. IEEE International Conference on. IEEE, 2007, 6, pp. VI-556-VI-559.

DOI: 10.1109/icip.2007.4379645

Google Scholar

[3] Wang Z F, Zheng Z G, A region based stereo matching algorithm using cooperative optimization, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. IEEE, 2008, pp.1-8.

DOI: 10.1109/cvpr.2008.4587456

Google Scholar

[4] Wang, Kun. Adaptive stereo matching algorithm based on edge detection. " Image Processing, 2004. ICIP, 04. 2004 International Conference 2 1345-1348 (2004).

DOI: 10.1109/icip.2004.1419748

Google Scholar

[5] Gu Z, Su X, Liu Y, et al, Local stereo matching with adaptive support-weight, rank transform and disparity calibration, Pattern Recognition Letters, vol. 29, no. 9, pp.1230-1235, (2008).

DOI: 10.1016/j.patrec.2008.01.032

Google Scholar

[6] Hosni A, Bleyer M, Gelautz M, et al, Local stereo matching using geodesic support weights, Image Processing (ICIP), 2009 16th IEEE International Conference on. IEEE, 2009, p.2093-(2096).

DOI: 10.1109/icip.2009.5414478

Google Scholar

[7] Luo G, Yang X, Xu Q, Fast stereo matching algorithm using adaptive window, Information Processing (ISIP), 2008 International Symposiums on. IEEE, 2008, pp.25-30.

DOI: 10.1109/isip.2008.56

Google Scholar

[8] Men G Z, Chai J L, Zhao J, A fast matching algorithm with an adaptive window based on quasi-dense method, Machine Learning and Cybernetics, 2009 International Conference on. IEEE, 2009, 3, pp.1641-1646.

DOI: 10.1109/icmlc.2009.5212272

Google Scholar

[9] Bai X, Kamata S, An efficient window-based stereo matching algorithm using foreground disparity concentration, Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on. IEEE, 2012, pp.1352-1357.

DOI: 10.1109/icarcv.2012.6485342

Google Scholar

[10] Yoon K J, Kweon I S, Adaptive support-weight approach for correspondence search, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 28, no. 4, pp.650-656, (2006).

DOI: 10.1109/tpami.2006.70

Google Scholar