NEW STEREO MATCHING METHOD BASED ON IMPROVED BP ALGORITHM

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 8 , ISSUE 1 (March 2015) > List of articles

NEW STEREO MATCHING METHOD BASED ON IMPROVED BP ALGORITHM

Qian. Zhang / Shaomin Li / Y. Zhang / P. Wang / JF. Huang

Keywords : Disparity map, stereo vision, Belief Propagation, MRF Model, Disparity map, Markov Random.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 1, Pages 464-479, DOI: https://doi.org/10.21307/ijssis-2017-767

License : (CC BY-NC-ND 4.0)

Received Date : 06-October-2014 / Accepted: 20-January-2015 / Published Online: 01-March-2015

ARTICLE

ABSTRACT

As stereo matching methods are widely used in computer vision and stereo reconstruction, from the perspective of improving the matching accuracy, this paper focuses on the global optimization algorithm. An improved stereo matching method based on 8- neighbor Belief Propagation method is proposed in this paper, by involving more pixels into information transmission, our method improves the accuracy of stereo matching. The experimental results verify the efficiency and reliability of our method.

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REFERENCES

[1] Jianhua Wang ; Qingxiang Zeng ; Fei Xie ; Weiyi Sun.Research on 3D reconstruction of ATV's
driving environment based on binocular vision.Electronics, Computer and Applications, 2014 IEEE
Workshop,2014 , pp: 556- 559.
[2] Zi-wei Zhou, Ge Li, Ji-zhuang Fang, Jie Zhao, A new stereo matching algorithm based on image
segmentation. Information and Automation (ICIA), 2012 International Conference on 6-8 June 2012. pp:
861 – 866
[3] Fan, Xinjian ; Wang, Xuelin ; Xiao, Yongfei.A shape-based stereo matching algorithm for binocular
vision Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference ,2014 , pp: 70-
74
[4] Nagy, A.-E. ; Szakats, I. ; Marita, T. ; Nedevschi, S.Development of an omnidirectional stereo vision
system.Intelligent Computer Communication and Processing (ICCP), 2013 IEEE International
Conference ,2013 , Page(s): 235- 242.
[5] Rueihung Li ; Ham, B. ; Changjae Oh ; Kwanghoon Sohn.Disparity search range estimation based on
dense stereo matching.Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference ,2013 ,
Page(s): 753- 759.
[6] A. -R. Mansouri and J. Konrad, Bayesian winner-take-all reconstruction of intermediate views from
stereoscopic images, IEEE Trans. Image Process., 2012,vol. 9, no. 10, 1710-1722.
[7] Lina Yi, Guifeng Zhang, Zhaocong Wu, A Scale-Synthesis Method for High Spatial Resolution
Remote Sensing Image Segmentation, Geoscience and Remote Sensing, IEEE Transactions on Oct. 2012,
pp:4062 – 4070.
[8] Sakthivel, P. ; Balakrishnan, G.Measurement of stereo matching on images using dissimilarity
estimation.Devices, Circuits and Systems (ICDCS), 2014 2nd International Conference 2014 , Page(s): 1-
9.
[9] Shuai Zhang ; Chong Wang ; Chan, S.C.A new high resolution depth map estimation system using
stereo vision and depth sensing device.Signal Processing and its Applications (CSPA), 2013 IEEE 9th
International Colloquium.2013 , Page(s): 49- 53
[10] Gupta, R.K. ; Siu-Yeung Cho.Window-based approach for fast stereo correspondence
Computer Vision, IET ,Volume:7, Issue: 2,2013 , Page(s): 123- 134
[11] X. Huang and E. Dubois, Three-view dense disparity estimation with occlusion detection, in Proc.
IEEE Conf Image Process. Vol. III, Genoa, Italy, Sept. 2005, 393-396.
[12] Xing Mei ; Xun Sun ; Weiming Dong ; Haitao Wang ; Xiaopeng Zhang.Segment-Tree Based Cost
Aggregation for Stereo Matching.Computer Vision and Pattern Recognition (CVPR), 2013 IEEE
Conference ,2013 , Page(s): 313-320
[13] Puerto-Souza, G.A. ; Mariottini, G.-L.A Fast and Accurate Feature-Matching Algorithm for
Minimally-Invasive Endoscopic Images Medical Imaging, IEEE Transactions on .Volume:32, Issue:
7,2013 , Page(s): 1201- 1214
[14] Jiaqi Liu ; Qiang Wu ; Xuwen Li.Research on Image Matching Algorithm Based on Local
Invariant Features Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth
International Conference, 2013 , Page(s): 113- 116.
[15] Joglekar, J. ; Gedam, S.S. ; Mohan, B.K.Image Matching Using SIFT Features and Relaxation
Labeling Technique—A Constraint Initializing Method for Dense Stereo Matching Geoscience and
Remote Sensing, IEEE Transactions on ,Volume:52 , Issue: 9, 2014 , Page(s): 5643- 5652.
[16] Kun Jia.Image matching algorithm based on grayscale and its improvement,Mechatronic Sciences,
Electric Engineering and Computer (MEC), Proceedings, 2013, pp: 1203- 1207
[17] Zamir, A.R. ; Shah, M.Image Geo-Localization Based on MultipleNearest Neighbor Feature
Matching UsingGeneralized Graphs,Pattern Analysis and Machine Intelligence, IEEE Transactions
on ,Volume:36, Issue: 8,2014 , pp: 1546- 1558.
[18] Shuang Yang ; Ling-Yu Duan ; Jie Lin ; Tiejun Huang.A novel pair-wise image matching strategy
with compact descriptors,Image Processing (ICIP), 2013 20th IEEE International Conference 2013 ,
Page(s): 2572- 2576.
[19] Bleyer M, Gelautz M. A Layered Stereo Algorithm Using Image Segmentation and Global
Visibility Constraints[J].ISPRS Journal of Photogrammetry and Remote Sensing ,2005,59(3): 128-1 50.
[20] Bleyer M, Gelautz M. Graph-Cut-Based Stereo Matching Using Image Segmentation with
Symmetrical Treatment of Occlusions. Signal Processing: Image Communication, 2007, 22(2): 127-143.
[21] D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo
correspondence algorithms, a - SSD + min-filter . IJCV 2002.
[22] Jin-Hyung Kim ; Kwon, J.W. ; Yun Ho Ko.Multi-baseline based texture adaptive belief
propagation stereo matching technique for dense depth-map acquisition.Electronics, Information and
Communications (ICEIC), 2014 International Conference,2014 , pp: 1- 2
[23] Eslami, H. ; Kasampalis, T. ; Kotsifakou, M.A GPU implementation of tiled belief propagation on
Markov Random Fields,Formal Methods and Models for Codesign (MEMOCODE), 2013 , Page(s): 143-
146.
[24] Xiaofang Wang ; Huibin Li ; Bichot, C.-E. ; Masnou, S. ; Liming Chen.A graph-cut approach to
image segmentation using an affinity graph based on ℓ0-sparse representation of features
[25] ICIP, 2013 20th IEEE International Conference, 2013 , Page(s): 4019- 4023.
[26] Sujung Kim ; Seong Dae Kim.Surface normal vector force driven 3D object reconstruction via
Graph-cut,Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on,2014 , Page(s):
1- 2
[27] Minh Nguyen ; Yuk Hin Chan ; Delmas, P. ; Gimel'farb, G.Symmetric dynamic programming
stereo using block matching guidance,Image and Vision Computing New Zealand (IVCNZ), 2013 28th
International Conference , 2013 , Page(s): 88- 93.
[28] Maiseli, B. ; Elisha, O. ; Jiangyuan Mei ; Huijun Gao.Edge preservation image enlargement and
enhancement method based on the adaptive Perona–Malik non-linear diffusion model.Image Processing,
IET ,Volume:8, Issue: 12,2014 , Page(s): 753- 760.
[29] G.Sengupta, T.A.Win, C.Messom, S.Demidenko and S.C.Mukhopadhyay, “Defect analysis of
grit-blasted or spray printed surface using vision sensing technique”, Proceedings of Image and Vision
Computing NZ, Nov. 26-28, 2003, Palmerston North, pp. 18-23.
[30] Sheng-jun Xu ; Jiu-qiang Han ; Liang Zhao ; Guang-hui Liu.Efficient Belief Propagation for
Image Segmentation Based on an Adaptive MRF Model Dependable, Autonomic and Secure Computing
(DASC), 2013 IEEE 11th International Conference, 2013 , Page(s): 324- 329
[31] Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE
Transactions on Pattern Analysis and Machine Intelligence, November 2001, 23(11):1222–1239.
[32] G. Sen Gupta, S.C. Mukhopadhyay and M Finnie, Wi-Fi Based Control of a Robotic Arm with
Remote Vision, Proceedings of 2009 IEEE I2MTC Conference, Singapore, May 5-7, 2009, pp. 557-562.
[33] K. Zhang, J. Lu and L. G, “Scalable Stereo Matching withLocally Adaptive Polygon
Approximation,” ICIP, 2008, pp.313-316
[34] Chastine Fatichah, Diana purwitasari, Victor hariadi, Faried effendy, Overlapping White Blood
cell segmentation and counting on microscopic blood cell images, vol. 7, no. 3, pp, 1271 – 1286, 2014.
[35] Lu Pengyu, Pu Jingchuan, et al., A Lexicon-Corpus-based Unsupervised chinese word
Segmentation Approach, vol. 7, no. 2, pp, 263 – 282, 2014.
[36] Huanbing Gao, Shouyin Lu, Guohui Tian, Jindong Tan, Vision-integrated physiotherapy service
robot using cooperating two arms, International Journal on Smart Sensing and Intelligent Systems,
vol.7, no.3, pp.1024 – 1043, 2014.

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