Graphics Reference
In-Depth Information
[418] J. Salvi, S. Fernandez, T. Pribanic, and X. Llado. A state of the art in struc-
tured light patterns for surface profilometry.
Pattern Recognition
, 43(8):2666-80,
Aug. 2010.
[419] J. Salvi, J. Pagès, and J. Batlle. Pattern codification strategies in structured light systems.
Pattern Recognition
, 37(4):827-49, Apr. 2004.
[420] P. Sand and S. Teller. Video matching. In
ACM SIGGRAPH (ACM Transactions on
Graphics)
, 2004.
[421] H. S. Sawhney, Y. Guo, K. Hanna, R. Kumar, S. Adkins, and S. Zhou. Hybrid stereo camera:
an IBR approach for synthesis of very high resolution stereoscopic image sequences. In
ACM SIGGRAPH (ACM Transactions on Graphics)
, 2001.
[422] S. Schaefer, T. McPhail, and J. Warren. Image deformation using moving least squares.
In
ACM SIGGRAPH (ACM Transactions on Graphics)
, 2006.
[423] F. Schaffalitzky and A. Zisserman. Multi-view matching for unordered image sets, or
“How do I organize my holiday snaps?”. In
European Conference on Computer Vision
(ECCV)
, 2002.
[424] F. Schaffalitzky and A. Zisserman. Automated location matching in movies.
Computer
Vision and Image Understanding
, 92(2-3):236-64, Nov. 2003.
[425] 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,
Apr. 2002.
[426] D. Scharstein and R. Szeliski. High-accuracy stereo depthmaps using structured light. In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
,
2003.
[427] H. Schey.
Div, Grad, Curl, and All That: An Informal Text on Vector Calculus
. W.W. Norton
and Company, 2005.
[428] G. Schindler, F. Dellaert, and S. B. Kang. Inferring temporal order of images from3Dstruc-
ture. In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR)
, 2007.
[429] C. Schmalz and E. Angelopoulou. A graph-based approach for robust single-shot struc-
tured light. In
IEEE International Workshop on Projector-Camera Systems (PROCAMS)
,
2010.
[430] C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval.
IEEE Transactions
on Pattern Analysis and Machine Intelligence
, 19(5):530-5, May 1997.
[431] C. Schmid, R. Mohr, and C. Bauckhage. Evaluation of interest point detectors.
International Journal of Computer Vision
, 37(2):151-72, June 2000.
[432] S. Se, D. Lowe, and J. Little. Vision-based mobile robot localization and mapping using
scale-invariant features. In
IEEE International Conference on Robotics and Automation
,
2001.
[433] S. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski. A comparison and evaluation
of multi-view stereo reconstruction algorithms. In
IEEE Computer Society Conference on
Computer Vision and Pattern Recognition (CVPR)
, 2006.
[434] S. M. Seitz and C. R. Dyer. View morphing. In
ACM SIGGRAPH (ACM Transactions on
Graphics)
, 1996.
[435] S. M. Seitz and C. R. Dyer. Photorealistic scene reconstruction by voxel coloring.
International Journal of Computer Vision
, 35(2):151-73, Nov. 1999.
[436] J. A. Sethian.
Level SetMethods andFastMarchingMethods: Evolving Interfaces inCompu-
tational Geometry, Fluid Mechanics, Computer Vision, and Materials Science
. Cambridge
University Press, 1999.
[437] V. Setlur, S. Takagi, R. Raskar, M. Gleicher, and B. Gooch. Automatic image retargeting.
In
International Conference on Mobile and Ubiquitous Multimedia
, 2005.
[438] M. Shaheen, J. Gall, R. Strzodka, L. VanGool, andH.-P. Seidel. A comparison of 3dmodel-
based tracking approaches for human motion capture in uncontrolled environments. In
IEEE Computer Society Workshop on Applications of Computer Vision
, 2009.
[439] A. Shashua. Algebraic functions for recognition.
IEEE Transactions on Pattern Analysis
and Machine Intelligence
, 17(8):779-89, Aug. 1995.