Sensing deforming and moving objects with commercial off the shelf hardware

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2005-September, Issue , 2005, Pages

  Fong, Philip ^a   Buron, Florian ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABERRATIONS; CAMERAS; COMMERCIAL OFF-THE-SHELF; COMPUTER HARDWARE; COMPUTER VISION; DEFORMATION; STEREO VISION; TEXTURES;

3D REPRESENTATIONS; CHROMATIC ABERRATION; COMMERCIAL OFF-THE-SHELF HARDWARES; HIGH RESOLUTION RANGES; MATHEMATICAL PRINCIPLE; SPACE RESOLUTIONS; SPECIALIZED HARDWARE; TRANSMITTED SIGNAL;

STEREO IMAGE PROCESSING;

EID: 79958017475     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.524     Document Type: Conference Paper

References (15)

1. H. Gonzales-Banos and J. Davis. “Computing depth under ambient illumination using multi-shuttered light,” Proc. IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition (CVPR) 2004, 2:234-241, 2004.
2. D. Pritchard and W. Heidrich. “Cloth Motion Capture,” Computer Graphics Forum (Eurographics 2003), 22(3):263-271, September 2003.
3. B. Carrihill and R. Hummel. “Experiments with the intensity ratio depth sensor,” Computer Vision, Graphics, and Image Processing, 32:337-358, 1985.
4. M. Takeda and M. Kitoh. “Fourier transform profilometry for the automatic measurement of 3-D object shape,” Applied Optics, 22:3977-3982, 1983.
5. S. Tang and Y. Y. Hung. “Fast Profilometer for the Automatic Measurement of 3-D Object Shapes,” Applied Optics, 29:3012-3018, 1990.
6. G. Sansoni, L. Biancardi, F. Docchio, and U. Minoni. “Comparative Analysis of Low-Pass Filters for the Demodulation of Projected Gratings in 3-D Adaptive Profilometry,” IEEE Tr. Instrumentation and Measurement, 43:50-55, 1994.
7. G. Sansoni, M. Carocci, and R. Rodella. “Calibration and performance evaluation of a 3-D imaging sensor based on the projection of structured light,” IEEE Tr. Instrumentation and Measurement, 49(3):628-636, 2000.
8. T. P.Koninckx, A. Griesser, and L. Van Gool. “Real-time Range Scanning of Deformable Surfaces by Adaptively Coded Structured Light,” Fourth Int. Conf. on 3-D Digital Imaging and Modeling - 3DIM03, 293-300, October 6-10, 2003.
9. L. Zhang, B. Curless, and S. M. Seitz. “Rapid Shape Acquisition Using Color Structured Light and Multi-pass Dynamic Programming. Proc. 1st Int. Symp. on 3D Data Processing, Visualization, and Transmission,” Padova, Italy, June 19-21, 2002, 24-36.
10. D. Caspi, N. Kiryati, and J. Shamir. “Range Imaging with Adaptive Color Structured Light. IEEE Trans. Pattern Analysis and Intelligence,” 20:470-480, 1998.
11. th Optoelectronics and Communications Conf., 2:1039-1042, 1999
12. J. Davis, R. Ramamoothi, and S. Rusinkiewicz. “Spacetime Stereo: A Unifying Framework for Depth from Triangulation,” IEEE Conf. on Computer Vision and Pattern Recognition, 2003.
13. M. Kass, A. Witkin, and D. Terzopoulos. “Snakes, Active Contour Models,” Int. J. Computer Vision, 1:321-331, 1988.
14. J.Y. Bouguet. Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib_doc/index.ht ml, 2004.
15. D. Ghiglia, and M. D. Pritt. Two-dimensional Phase Unwrapping: Theory, Algorithms, and Software. New York: Wiley, 1998.