Bibliography - Computer Vision for Visual Effects - page 369

[42] P. J. Besl. Active, optical range imaging sensors. Machine Vision and Applications ,
1(2):127-52, June 1988.
[43] P. Bhat, C. L. Zitnick, M. Cohen, and B. Curless. GradientShop: A gradient-domain
optimization framework for image and video filtering. ACM Transactions on Graphics ,
29(2):1-14, Mar. 2010.
[44] B. Bickel, M. Botsch, R. Angst, W. Matusik, M. Otaduy, H. Pfister, and M. Gross. Multi-
scale capture of facial geometry and motion. In ACM SIGGRAPH (ACM Transactions on
Graphics) , 2007.
[45] J. Bilmes. A gentle tutorial of the EM algorithm and its application to parameter esti-
mation for Gaussian mixture and hidden Markov models. Technical Report TR-97-021,
University of California, Berkeley, 1997.
[46] S. Birchfield and C. Tomasi. A pixel dissimilarity measure that is insensitive to image
sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence , 20(4):401-6,
Apr. 1998.
[47] M. Black andA. Jepson. Estimating optical flow in segmented images using variable-order
parametric models with local deformations. IEEE Transactions on Pattern Analysis and
Machine Intelligence , 18(10):972-86, Oct. 1996.
[48] M. J. Black and P. Anandan. The robust estimation of multiple motions: Parametric and
piecewise-smooth flow fields. Computer Vision and Image Understanding , 63(1):75-104,
Jan. 1996.
[49] A. Blake, C. Rother, M. Brown, P. Pérez, and P. Torr. Interactive image segmentation using
an adaptive GMMRF model. In European Conference on Computer Vision (ECCV) , 2004.
[50] M. Bleyer, C. Rother, and P. Kohli. Surface stereo with soft segmentation. In IEEE
Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , 2010.
[51] B. Bodenheimer, C. Rose, S. Rosenthal, and J. Pella. The process of motion capture: Deal-
ing with the data. In Eurographics Workshop on Computer Animation and Simulation ,
1997.
[52] J. Bolz, I. Farmer, E. Grinspun, and P. Schröoder. Sparse matrix solvers on the GPU:
conjugate gradients and multigrid. In ACM SIGGRAPH (ACM Transactions on Graphics) ,
2003.
[53] F. Bookstein. Principal warps: thin-plate splines and the decomposition of deformations.
IEEE Transactions on Pattern Analysis andMachine Intelligence , 11(6):567-85, June 1989.
[54] G. Borshukov, J. Montgomery, and W. Werner. Playable universal capture: compression
and real-time sequencing of image-based facial animation. In ACM SIGGRAPH Courses ,
2006.
[55] J. Bouguet. Pyramidal implementation of the Lucas-Kanade feature tracker: description
of the algorithm. Technical report, Intel Corporation, 1999.
[56] J.-Y. Bouguet and P. Perona. 3D photography on your desk. In IEEE International
Conference on Computer Vision (ICCV) , 1998.
[57] K. L. Boyer and A. C. Kak. Color-encoded structured light for rapid active ranging. IEEE
Transactions on Pattern Analysis and Machine Intelligence , PAMI-9(1):14-28, Jan. 1987.
[58] Y. Boykov andD. Huttenlocher. AdaptiveBayesian recognition in tracking rigidobjects. In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) ,
2000.
[59] Y. Boykov and M. Jolly. Interactive graph cuts for optimal boundary and region segmen-
tation of objects in N-D images. In IEEE International Conference on Computer Vision
(ICCV) , 2001.
[60] Y. Boykov and V. Kolmogorov. An experimental comparison of min-cut/max-flow algo-
rithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and
Machine Intelligence , 26(9):1124-37, Sept. 2004.
[61] Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph
cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence , 23(11):1222-39,
Nov. 2001.
[62] D. Bradley, T. Boubekeur, and W. Heidrich. Accurate multi-view reconstruction using
robust binocular stereo and surface meshing. In IEEE Computer Society Conference on
Computer Vision and Pattern Recognition (CVPR) , 2008.