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ECCV
1998
Springer
14 years 6 months ago
From Regular Images to Animated Heads: A Least Squares Approach
Abstract. We show that we can e ectively t arbitrarily complex animation models to noisy image data. Our approach is based on leastsquares adjustment using of a set of progressivel...
Pascal Fua, C. Miccio
CVIU
1999
110views more  CVIU 1999»
13 years 4 months ago
Animated Heads from Ordinary Images: A Least-Squares Approach
We show that we can effectively fit arbitrarily complex animation models to noisy data extracted from ordinary face images Our approach is based on least-squares adjustment, using...
Pascal Fua, C. Miccio
TOG
2002
212views more  TOG 2002»
13 years 4 months ago
Least squares conformal maps for automatic texture atlas generation
A Texture Atlas is an efficient color representation for 3D Paint Systems. The model to be textured is decomposed into charts homeomorphic to discs, each chart is parameterized, a...
Bruno Lévy, Sylvain Petitjean, Nicolas Ray,...
SADM
2008
178views more  SADM 2008»
13 years 4 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
TIP
2010
155views more  TIP 2010»
13 years 3 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He