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» Image compression using texture modeling
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SCALESPACE
2007
Springer
14 years 3 months ago
Detecting Regions of Dynamic Texture
Abstract. Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropri...
Tomer Amiaz, Sándor Fazekas, Dmitry Chetver...
NIPS
2004
13 years 10 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
TMM
2002
158views more  TMM 2002»
13 years 8 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective crite...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
ICIP
1994
IEEE
14 years 10 months ago
A Tree Structured Bayesian Scalar Quantizer for Wavelet Based Image Compression
ABSTRACT the pyramid. Recently, a number of promising quanMultiresolution imagedecompositions (e. g., wavelets), in conjunction with a variety of quantization schemes, have been sh...
Birsen Yazici, Mary L. Comer, Rangasami L. Kashyap...
PRL
2007
209views more  PRL 2007»
13 years 8 months ago
Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models
Accurate rigid and non-rigid tracking of faces is a challenging task in computer vision. Recently, appearance-based 3D face tracking methods have been proposed. These methods can ...
Fadi Dornaika, Angel Domingo Sappa