PAPERS
1 - Papers Gerais
Pattern
Theory: the Mathematics of Perception,
ICM 2002 · Vol. III · 1-3,
David Mumford
Machine
Learning for Computer Graphics: A Manifesto and A
Tutorial
http://www.dgp.toronto.edu/~hertzman/mlcg2003/mlcg2003-draft.pdf
An
Introduction to the Kalman Filter, Gary Bishop and Greg Welch
http://www.cs.unc.edu/~tracker/ref/s2001/kalman/
2 - Image Processing
2.1 - Quantization
(K-Means)
Verevka
and J.W. Buchanan:
Local K-means Algorithm for color image quantization. Proc.
of GI'95 Quebec, Canada (1995).
2.2 - Wavelets
J.
Romberg, H. Choi, R. Baraniuk, N. Kingsbury,
Hidden Markov Tree Models for
Complex Wavelet Transforms,
IEEE Transactions on Signal Processing,
(Unpublished, May, 2002).
J.
Romberg, H. Choi, R. Baraniuk,
Bayesian Tree-Structured Image Modeling
using Wavelet Domain Hidden Markov
Models
http://www.dsp.rice.edu/software/whmt.shtml
2.3 - Texture
Synthesis (Non-Parametric / Markov Fields)
Texture
Synthesis via a Noncausal Nonparametric Multiscale Markov Random
Field
IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 7, NO. 6, 1998 1,
Rupert Paget
A. Efros
and T. Leung.
Texture synthesis by Non-parametric sampling. ICCV
99.
(http://www.cs.berkeley.edu/~efros/research/NPS/efros-iccv99.pdf)
2.4 - Compositing
A Bayesian
Approach to Digital Matting, R. Szeliski
I.J. Computer Vision
3 - Vision
3.1 -
Tracking / Condensation
Michael
Isard and Andrew Blake
CONDENSATION -- conditional density propagation for
visual tracking Int. J. Computer Vision, 29, 1, 5--28,
(1998)
http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/ISARD1/condensation.html
3.2 - Natural
Images
Erik
Reinhard, Peter Shirley, and Tom Troscianko,
"Natural image statistics for
computer graphics", University of Utah tech report UUCS-01-002, March
2001
3.3 - SegmentationŽ(Mean-Shift)
D. Comanicu, P.
Meer:
"Mean shift: A robust approach toward feature space analysis." IEEE Trans.
Pattern Anal. Machine Intell., 24, 603-619, May 2002
3.3 - Faces
Recosntructing
the Complete 3D Shape of Faces from Partial Information, Volker Blantz, Thomas
Vetter
4 -
Modeling
4.1 - Statistical Point Geometry
Statistical
Point Geometry, A. Kalaiah and A. Varshney
Eurographics Symposium
on Geometry Processing
4.2 - Shape Grammars
Topological
Stochastic Grammars, Michael Adler
Preprint
4.3 - Mesh Statistics
On the
Optimality of Spectral Compression of Meshes
Craig Gotsman (preprint)
5 - Animation
5.1 Style
Machines
M. Brand
and A. Hertzmann. Style Machines. SIGGRAPH
2000
http://mrl.nyu.edu/publications/style-machines/brand-hertzmann.pdf
5.2 Motion
Textures
H. Shum, Motion
Texture: A Two-Level Statistical Model for Character Motion
Synthesis
6 - Rendering
6.1 Distributed Ray
Tracing
R.Cook, T.Porter, L.Carpenter, Distributed Ray Tracing,
Proc. of
SIGGRAPH 84, p165-174,
1984.
http://www.cs.wpi.edu/~matt/courses/cs563/talks/dist_ray/dist.html
R.
Cook, Stochastic sampling in computer graphics,
ACM Transactions on
Computer Graphics, 5(1), pp. 51-72, Jan 1986
6.2 - Monte-Carlo Paths
Eric Veach and
Leonidas J. Guibas. Metropolis Light Transport. SIGGRAPH
97
http://graphics.stanford.edu/papers/metro/
http://graphics.stanford.edu/papers/veach_thesis/
6.3 - Randomized Visibility
Michael
Wand, The Randomized z-Buffer Algorithm: Interactive Rendering of Highly Complex
Scenes
http://www.gris.uni-tuebingen.de/areas/large/xrendering/
7
- Video
7.1 - Linear Dynamic Systems
G.
Doretto, P. Pundir, Y. Wu, S. Soatto. Dynamic textures. ICCV
2001
http://www.cs.ucla.edu/~doretto/projects/dynamic-textures.html
http://www.cs.ucla.edu/~doretto/papers/dorettoCWS03_IJCVpreprint.pdf