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IEEE Transactions on Signal Processing, (Unpublished, May, 2002).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