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» Modeling shapes and textures from images: new frontiers
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SMI
2010
IEEE
167views Image Analysis» more  SMI 2010»
14 years 11 months ago
RBF Dipole Surface Evolution
—The level set method can implement a wide variety of shape modeling operations (e.g. offsetting, skeletonization, morphing, blending, smoothing, sharpening, embossing, denoising...
Yuntao Jia, Xinlai Ni, Eric Lorimer, Michael Mulla...
CVPR
2003
IEEE
16 years 3 months ago
Representation and Detection of Deformable Shapes
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
Pedro F. Felzenszwalb
ICCV
2009
IEEE
16 years 6 months ago
A Shape-Based Object Class Model for Knowledge Transfer
Object class models trained on hundreds or thousands of images have shown to enable robust detection. Transferring knowledge from such models to new object classes trained from ...
Michael Stark, Michael Goesele, Bernt Schiele
PAMI
2002
177views more  PAMI 2002»
15 years 28 days ago
Adjusting Shape Parameters Using Model-Based Optical Flow Residuals
We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an...
Douglas DeCarlo, Dimitris N. Metaxas
CVPR
2007
IEEE
16 years 3 months ago
Face Re-Lighting from a Single Image under Harsh Lighting Conditions
In this paper, we present a new method to change the illumination condition of a face image, with unknown face geometry and albedo information. This problem is particularly diffic...
Yang Wang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengy...