Stereoscopic 3D reconstruction using motorized zoom lenses within an embedded system

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7251, Issue , 2009, Pages

  Liu, Pengcheng ^a   Willis, Andrew ^a   Sui, Yunfeng ^a  

^a UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D POSITIONS; 3D RECONSTRUCTION; CALIBRATED CAMERAS; CALIBRATION PATTERNS; CAMERA PARAMETER; CAMERA SENSOR; CHESS BOARDS; CMOS CAMERA; COMPUTATIONAL COSTS; COMPUTATIONAL TASK; DATA FLOW; FOLLOWING PROBLEM; FREE-FORM OBJECT; LINUX- OPERATING SYSTEM; MATCHED POINTS; RECONSTRUCTION SYSTEMS; STEREO IMAGE PAIRS; STEREO MATCHING; STEREO RECONSTRUCTION; STEREO-IMAGE; SYSTEM COMPONENTS; TECHNICAL ASPECTS; ZOOM LENS; ZOOM SETTINGS;

CALIBRATION; CAMERAS; COMPUTER OPERATING SYSTEMS; COMPUTER VISION; DIGITAL SIGNAL PROCESSORS; EMBEDDED SYSTEMS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); IMAGE RECONSTRUCTION; IMAGING SYSTEMS; LENSES; RESTORATION; SURFACE RECONSTRUCTION;

THREE DIMENSIONAL;

EID: 65949092322     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.805732     Document Type: Conference Paper

References (36)

1. Y. Ma, S. Soatta, J. Košecká, and S. S. Sastry, An Invitation to 3-D Vision, From Images to Geometric Models. Springer: New York, 2004.
2. E. Kruppa, "Zur ermittlung eines objektes aus zwei perspektiven mit innerer orientierung," Sitz.-Ber. Akad. Wiss., Math. Naturw., Kl. Abt. Ila, vol. 122, pp. 1939-1948, 1913.
3. D. J. Felleman and D. C. van Essen, "Distributed hierarchical processing in the primate cerebral cortex," Cerebral Cortex, pp. 1-47, 1991.
4. Q. Chen and G. Medioni, "Efficient iterative solutions to the m-view projective reconstruction problem," in Proc. of the Int. Conf. on Computer Vision and Pattern Recognition, vol. II, pp. 55-61, 1999.
5. A. Tirumalai, B. Schunck, and R. Jain, "Dynamic stereo with serf-calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 12, pp. 1184-1189, 1992.
6. Y. Xiong and L. H. Matthies, "Stereo vision for planetary rovers: stochastic modeling to near real-time implementation," in Conf. on Computer Vision and Pattern Recognition (CVPR), vol. 8, pp. 1087-1093, 1997.
7. "Point grey research." http://www.ptgrey. com/products, 2007.
8. Y. Yakimowski and R. Cunningham, "System for extracting 3d measurement from a stereo pair of tv cameras," Journal of Computer Vision, Graphics and Image Processing (CVGIP), vol. 7, pp. 195-210, 1978.
9. L. H. Matthies, "Stereo vision for planetary rovers: stochastic modeling to near real-time implementation," in Int. Journal of Computer Vision (IJCV), vol. 8, pp. 71-91.
10. Y. Jia, X. Zhang, M. Li, and L. An, "A miniature stereo vision machine (MSVM-III) for dense disparity mapping," in Proceedings of the 17th International Conference on Pattern Recognition, pp. 728-731, 2004.
11. C. Murphy, D. Lindquist, and A. M. Rynning, "Low-cost stereo vision on an FPGA," in International Symposium on Field-Programmable Custom Computing Machines, pp. 333-334, 2007.
12. H. C. Longuet-Higgins, "A computer algorithm for reconstructing a scene from two projections," Nature, no. 293, pp. 133-135, 1981.
13. R. Y. Tsai, "A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras," IEEE Journal Robotics and Automation, vol. 3, no. 4, pp. 323-344, 1987.
14. Heikkil and Silven, "A four-step camera calibration procedure with implicit image correction," in CVPR, pp. 1106-1112, 1997.
15. Z. Zhang, "A flexible new technique for camera calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1130-1134, 2000.
16. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
17. F. Remondino and C. Fraser, "Digital camera calibration methods: considerations and comparisons," in IEVM06, pp. 266-272, 2006.
18. L. Grammatikopoulos, G. Karras, and E. Petsa, "An automatic approach for camera calibration from vanishing points," ISPRS journal of photogrammetry and remote sensing, vol. 62, no. 1, pp. 64-76, 2007.
19. D. Oram, "Rectification for any epipolar geometry," in 12th British Machine Vision Conference (BMVC), pp. 653-662, 2001.
20. H. Hirschmuller, "Accurate and efficient stereo processing by semi-global matching and mutual information," in IEEE Conf. on CVPR, vol. 2, pp. 807-814, 2005.
21. V. Kolmogorov and R. Zabih, "Computing visual correspondence with occlusions using graph cuts," in In International Conference on Computer Vision, pp. 508-515, 2001.
22. J. Sun, H. Y. Shum, and N. N. Zheng, "Stereo matching using belief propagation," IEEE Transact ion on Pat tern Analysis and Machine Intelligence, vol. 25, no. 7, pp. 787-800, 2003.
23. S. Birchfield and C. Tomasi, "Multiway cut for stereo and motion with slanted surfaces," in International Conference On Computer Vision, pp. 489-495, 1999.
24. D. Scharstein and R. Szeliski, "Stereo matching with non-linear diffusion," International Journal of Computer Vision, vol. 28, no. 2, pp. 155-174, 1998.
25. S. Birchfield and C. Tomasi, "Depth discontinuity by pixel-to-pixel stereo," in International Conference On Computer Vision, pp. 1073-1080, 1998.
26. A. Klaus, M. Sormann, and K. Karner, "Segment-based stereo matching using belief propagation and a serf-adapting dissimilarity measure," in In CVPR, vol. 3, pp. 15-18, 2006.
27. Y. Wei and L. Quan, "Region-based progressive stereo matching," in In Conference on Computer Vision and Pattern Recognition, pp. 106-113, 2004.
28. Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, "Stereo matching with color-weighted correlation, hierarchical belief propagation and occlusion handling," inln CVPR, pp. 2347-2354, 2006.
29. E. Trucco and A. Verri, Introductory techniques for 3-D computer vision. Prentice Hall, 1998.
30. R. I. Hartley and P. Sturm, "Triangulation," in In Proceedings of ARPA Image Understanding Workshop, pp. 957-966, 1994.
31. J. Y Bouguet, Camera calibration toolbox for MATLAB. http://www.vision.caltech.edu/bouguetj/calib-doc/.
32. D. C. Brown, "Close-range camera calibration," Photogrammetric Engineering, vol. 37, no. 8, pp. 855-866, 1971.
33. J. G. Fryer and D. C. Brown, "Lens distortion for close-range photogrammetry," Photogrammetric Engineering and Remote Sensing, vol. 52, no. 1, pp. 51-58, 1986.
34. D. C. Brown, "Decentering distortion of lenses," Photometric Engineering, vol. 32, no. 3, pp. 444-462, 1966.
35. S. Hasan and K. Lee, "Interfacing to a stratix FPGA using the blackfin parallel peripheral interface," tech. rep., Chameleonic Radio Technical Memo No. 7, Virginia Tech, 2006.
36. G. G. Filho and Y. Aloimonos, "An optimal time-space algorithm for dense stereo matching," tech. rep., CS-TR-4839, Department of Computer Science, University of Maryland, 2003.