Fusion of time-of-flight depth and stereo for high accuracy depth maps

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Zhu, Jiejie ^a   Wang, Liang ^a   Yang, Ruigang ^a   Davis, James ^b  

^a UNIVERSITY OF KENTUCKY   (United States)

^b University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; DISTRIBUTION FUNCTIONS; FEATURE EXTRACTION; IMAGE PROCESSING; MAPS; NEGATIVE IONS; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS; SENSORS;

BELIEF PROPAGATION; DEPTH MAPS; ERROR CHARACTERISTICS; GLOBAL METHODS; GRAPH CUTS; HIGH-ACCURACY; PASSIVE STEREO; PROBABILITY DISTRIBUTION FUNCTION; RANGE SENSORS; REAL TIME; TIME -OF-FLIGHT;

SENSOR DATA FUSION;

EID: 51949105325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587761     Document Type: Conference Paper

References (28)

1. 3dv systems, z-cam. http://www.3dvsystems.com, 2004.
2. Canesta inc, canestavision electronic perception development kit. http://www.canesta.com/, 2006.
3. Swissranger inc, sr-2. http://www.csem.ch/fs/imaging.htm, 2006.
4. S. A.Gumundsson, H. Aans, and R.Larsen. Fusion of stereo vision and time-of-flight imaging for improved 3d estimation. In International workshop on Dynamic 3D Imaging, 2007.
5. S. A.Gumundsson, H.Aans, and R.Larsen. Environmental effects on measurement uncertainties of time-of-flight cameras. In International Symposium on Signals, Circuits and Systems, pages 1-4, 2007.
6. A.H.Izhal, T.Ushinaga, T.Sawada, M. Homma, Y. Maeda, and S.Kawahito. A cmos time-of-flight range image sensor with gates-on-field-oxide structure. IEEE Sensors Journal, 7(12):1578-1586, 2007.
7. T. D. A.Prasad, K.Hartmann, W.Weihs, S. E. Ghobadi, and A.Sluiter. First steps in enhancing 3d vision technique using 2d/3d sensors. In Computer Vision Winter Workshop, pages 82-86, 2006.
8. C. Beder, B. Bartczak, and R. Koch. A comparison of pmd-cameras and stereo-vision for the task of surface reconstruction using patchlets. In CVPR, 2007.
9. S. Birchfield and C. Tomasi. A pixel dissimilarity measure that is insensitive to image sampling. IEEE Trans. Pattern Anal. Mach. Intell., 20(4):401-406, 1998.
10. S. B. Gktrk, H. Yalcin, and C. Bamji. A time-of-flight depth sensorsystem description, issues, and solutions. In CVPR, page 35, 2004.
11. H. Gonzales-Banos and J. Davis. Computing depth under ambient illumination using multi-shuttered light. In CVPR, pages 234-241, 2004.
12. J.Diebel and S.Thrun. An application of markov random fields to range sensing. In NIPS, pages 291-298, 2005.
13. J.Sun, Y.Li, S. B. Kang, and H. Y. Shum. Symmetric stereo matcing for occlusion handling. In CVPR, pages 399-406, 2005.
14. T. Kahlmann, F. Remondino, and H. Ingensand. Calibration of the fast range imaging camera swissranger for use in the surveillance of the environment. In Proceedings of SPIE:Electro-Optical Remote Sensing II, volume 6396, 2006.
15. V. Kolmogorov and R. Zabih. Computing visual correspondence with occlusions using graph cuts. In ICCV, pages 508-515, 2001.
16. K. D. Kuhnert and M. Stommel. Fusion of stereo-camera and pmd-camera data for real-time suited precise 3d environment reconstruction. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 4780-4785, 2006.
17. M. Lehmann, R. Kaufmann, F. Lustenberger, B. Bttgen, and T. Oggier. Ccd/cmos lock-in pixel for range imaging: Challenges, limitations and state-of-the-art. In CSEM, Swiss Center for Electronics and Microtechnology., 2004.
18. S. May, B.Werner, H. Surmann, and K. Pervlz. 3d time-of-flight cameras for mobile robotics. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1578-1586, 2006.
19. B. K. P.Horn. Closed-form solution of absolute orientation using unit quaternions. Journal of the Optical Society of America, 4(4):629-642, 1987.
20. R. Reulke. Combination of distance data with high resolution images. In ISPRS Commission V Symposium Image Engineering and Vision Metrology, 2006.
21. R.Lange and P.Seitz. Solid-state time-of-flight range camera. IEEE Journal of Quantum Electronics, 37(3):390-397, 2001.
22. D. Scharstein and R. Szeliski. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. International Journal of Computer Vision, 47(1):7-42, May 2002.
23. A. Verri and V.Torre. Absolute depth estimate in stereopsis. The Optical Society of America A, 3:297-299, 1986.
24. Q. Yang, L. Wang, R. G.Yang, H. Stewenius, and D. Nister. Stereo matching with color-weighted correlation, hierarchical belief propagation and occlusion handling. In CVPR, pages 2347-2354, 2006.
25. Q. X. Yang, L.Wang, R. G.Yang, S. G.Wang, M.Liao, and D.Nister. Real-time global stereo matching using hierarchical belief propagation. In BMVC, 2006.
26. Q. X. Yang, R. G. Yang, J.Davis, and D.Nister. Spatial-depth super resolution for range images. In CVPR, 2007.
27. K. J. Yoon and I. S. Kweon. Locally adaptive support-weight approach for visual correspondence search. In CVPR, pages 924-931, 2005.
28. Z. Zhang. A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell., 22:1330-1334, 2000.