Real-time Semi-Global Matching on the CPU

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 85-92

  Gehrig, Stefan K ^a   Rabe, Clemens ^b  

^a DAIMLER AG   (Germany)

^b UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMIC APPROACH; COMPUTATION TIME; COMPUTATIONAL RESOURCES; DRIVER ASSISTANCE SYSTEM; EFFICIENT ALGORITHM; EMBEDDED PROCESSORS; FREE SPACE; GENERAL PURPOSE; GRAPHICS HARDWARE; IMAGE PAIRS; MULTI CORE; OBJECT DETECTION; PARALLELIZATIONS; REAL-TIME IMPLEMENTATIONS; SEMI-GLOBAL; STEREO ALGORITHMS;

ALGORITHMS; AUTOMOBILE DRIVERS; COMPUTER VISION; MICROCOMPUTERS; REAL TIME CONTROL; RECONFIGURABLE HARDWARE; TECHNICAL PRESENTATIONS;

COMPUTER HARDWARE;

EID: 77956527160     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543779     Document Type: Conference Paper

References (21)

1. ARM. Cortex-a9 mpcore technical reference manual. Technical report, ARM Holding, viewed 2010/03/08. http://infocenter.arm.com/help/index.jsp?topic=/com. arm.doc.ddi0407e/index.html. 1, 7
2. H. Blume and et al. Openmp-based parallelization on an mpcore multiprocessor platform. Int. Journal of Systems Architecture, 54:1019-1029, 2008. 7
3. I. Ernst and H. Hirschmueller. Mutual information based semi-global stereo matching on the gpu. In International Symposium of Visual Computing (ISVC), Las Vegas, 2008. 2, 3, 5
4. S. Forstmann and et al. Real-time stereo by using dynamic programming. In Computer Vision and Pattern Recognition Workshop on Real-Time 3D Sensors, pages 29-36, 2004. 2
5. U. Franke. Real-time stereo vision for urban traffic scene understand ing. In Proceedings of the Intelligent Vehicles 00 Symposium, 2000. 1
6. Freescale. Msc8144 quad-core dsp. Technical report, Freescale Semiconductor, viewed 2010/03/08. http://www.freescale.com/webapp/sps/site/ prodsummary.jsp?code=MSC8144. 1
7. S. Gehrig, F. Eberli, and T. Meyer. A real-time low-power stereo vision engine using semi-global matching. In ICVS 2009, pages 134-143, October 2009. 2, 3, 4, 5
8. H. Hirschmueller. Accurate and efficient stereo processing by semi-global matching and mutual information. In Proceedings of Int. Conference on Computer Vision and Pattern Recognition 05, San Diego, CA, volume 2, pages 807-814, June 2005. 1, 3, 4, 5, 6, 7
9. H. Hirschmueller. Stereo vision in structured environments by consistent semi-global matching and mutual information. In Proceedings of Int. Conference on Computer Vision and Pattern Recognition 06, New York, NY, pages 2386-2393, June 2006. 5
10. H. Hirschmueller and D. Scharstein. Evaluation of cost functions for stereo matching. In Proceedings of Int. Conference on Computer Vision and Pattern Recognition 07, Minneapolis, Minnesota, June 2007. 3
11. H. Hirschmueller and D. Scharstein. Evaluation of stereo matching costs on images with radiometric distortions. IEEE Transact. Pattern Analysis & Machine Intelligence, 31(9):1582-1599, 2009. 3, 7
12. K. Huh, J. Park, J. Hwang, and D. Hong. A stereo visionbased obstacle detection system in vehicles. Optics and Lasers in Engineering, 46(2), February 2008. 2
13. I. D. Rosenberg, P. L. Davidson, C. M. R. Muller, and J. Y. Han. Real-time stereo vision using semi-global matching on programmable graphics hardware. In SIGGRAPH '06: ACM SIGGRAPH 2006 Sketches. ACM Press, 2006. 2
14. S. Sabihuddin and W. J. MacLean. Maximum-likelihood stereo correspondence using field programmable gate arrays. In Int. Conference on Computer Vision Systems (ICVS), Bielefeld, Germany, March 2007. 2
15. D. Scharstein and R. Szeliski. Middlebury online stereo evaluation. http://vision.middlebury.edu/stereo. 1
16. M. Shimizu and M. Okutomi. An analysis of subpixel estimation error on area-based image matching. In DSP 2002, pages 1239-1242, 2002. 4
17. M. Sizintsev. Hierarchical stereo with thin structures and transparency. In Canadian Robot Vision, pages 97-104, 2008. 2, 4
18. P. Steingrube, S. Gehrig, and U. Franke. Performance evaluation of stereo algorithms for automotive applications. In ICVS 2009, pages 285-294, October 2009. 1
19. J. I.Woodfill and et al. The tyzx deepsea g2 vision system, a taskable, embedded stereo camera. In Embedded Computer Vision Workshop, pages 126-132, 2006. 2
20. Q. Yang and et al. Real-time global stereo matching using hierarchical belief propagation. In British Machine Vision Conference (BMVC), pages 989-998, September 2006. 2
21. E. Zinner,M. Humenberger, K. Ambrosch, and W. Kubinger. An optimized software-based implementation of a censusbased stereo matching algorithm. In International Symposium of Visual Computing (ISVC), Las Vegas, 2008. 3