Home   >   CSC-OpenAccess Library   >    Manuscript Information
An Assessment of Image Matching Algorithms in Depth Estimation
Ashraf Anwar, Ibrahim El Rube
Pages - 109 - 123     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 2    |    Publication Date - April 2013  Table of Contents
MORE INFORMATION
KEYWORDS
Stereo vision, Image Matching Algorithms, SIFT, SURF, MSER, Correspondence.
ABSTRACT
Computer vision is often used with mobile robot for feature tracking, landmark sensing, and obstacle detection. Almost all high-end robotics systems are now equipped with pairs of cameras arranged to provide depth perception. In stereo vision application, the disparity between the stereo images allows depth estimation within a scene. Detecting conjugate pair in stereo images is a challenging problem known as the correspondence problem. The goal of this research is to assess the performance of SIFT, MSER, and SURF, the well known matching algorithms, in solving the correspondence problem and then in estimating the depth within the scene. The results of each algorithm are evaluated and presented. The conclusion and recommendations for future works, lead towards the improvement of these powerful algorithms to achieve a higher level of efficiency within the scope of their performance.
CITED BY (1)  
1 Velayutham, R., GomathiSundari, B., SeethaSubbulakshmi, M., & Suresh, L. P. (2015, March). A modern perception for optical diagnosis using simulation techniques. In Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on (pp. 1-5). IEEE.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
Di Stefano, et al., "A fast area-based stereo matching algorithm", Image and vision computing,22(12), pp. 983-1005, 2004.
Dilip K. Prasad, "Survey of ths problem of object detection in Real images", International journal of image processing, V (6), issue (6), 2012.
Evans, C." Notes on the Open SURF library". UK Publication Papers. Issue 1, Citeseer. p.25., 2008
Harkanwal, et al. ," A robust area based disparity estimation technique for stereo vision applications", proceeding of the 2011 International conference on image processing.
Herbert Bay, H., A. Ess, T. Tuytelaars, and L. Van Gool. "Speeded-up robust features(SURF)", Computer Vision ECCV 2006, Vol. 3951. Lecture Notes in Computer Science. p. 404-417, 2006.
Hess, R. " An open source SIFT library". Proceedings of the International Conference in Multimedia, 2010, Firenze, Italy. pp. 1493-1496, 2010.
http://www.surveyor.com/stereo/stereo_info.html.
http://www.vision.caltech.edu/bouguetj/calib_doc/index.html#links.
Ibrahim El rube, et al., "Automatic selection of control points for remote sensing image registration based on multi-scale SIFT", proceeding of international conference on signal, image processing, and applications, 2011.
J. Matas, O. Chum, M. Urban, and T. Pajdla. "Robust wide baseline stereo from maximally stable extremal regions", Proc. of British Machine Vision Conference, pp 384-396, 2002.
Kanade, T., and M. Okutomi, " A stereo matching algorithm with and adaptive window:Theory and experiment" IEEE Transactions on Pattern Analysis and Machine Intelligence,(TPAMI) 16: 920-932, 1994.
Lowe, D.G., "Distinctive image feature from scale-invariant keypoints", International Journal of Computer Vision, 60(2): 91-110, 2004.
Luo Juan, Oubong, "A comparision of SIFT, PCA-SIFT, and SURF", International journal of image processing, V (3), issue (4), 2009
Manjusha, etal., "A survey of image registration", International journal of image processing, V(5), issue (3), 2011.
Meng Chen, et al.,"A method for mobile robot obstacle avoidance based on stereo vision",proceeding 10th IEEE International conference on components, circuits, devices, and systems,2012.
Ming Bai, et al., "Stereovision based obstacle detection approach for mobile robot navigation", proceeding international conference on intelligent control and information processing,2010.
Nalpantidis, Lazaros; Gasteratos, A.; Sirakoulis, G.C., "Review of stereo vision algorithms :From software to hardware'', International Journal of Optomechatronics, Vol. 2, No. 4, p. 435-462,2008.
Patrik Kamencay, et al., "Improved depth map estimation from stereo images based on hybrid method", Radio engineering, vol. 21, NO. 1, pp. 70-78, 2012.
Sukjune Yoon, et al., "Fast correlation-based stereo matching with the reduction of systematic errors", Pattern Recognition Letters 26, 2221-2231, Elsevier, 2005.
Young Soo, et al., " Distance estimation using inertial sensor and vision", Inernational Journal of control, Automation, and Systems, V(11), (1), 2013.
Zhao Yong-guo, et al. "The obstacle avoidance and navigation based on stereo vision for mobile robot" proceeding international conference on optoelectronics and image processing,2010.
Dr. Ashraf Anwar
Taif University - Saudi Arabia
ashrafmanwar90@yahoo.com
Mr. Ibrahim El Rube
College of Computers and Information Technology - Saudi Arabia


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS