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» The Influence of Shape on Image Correspondence
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ICPR
2008
IEEE
14 years 9 months ago
Facial expression analysis with facial expression deformation
In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle ...
Daijin Kim, Jongju Shin, Sungsoo Park
SMI
2010
IEEE
167views Image Analysis» more  SMI 2010»
13 years 6 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...
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
14 years 1 months ago
Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling
This paper presents a new method for face modeling and face recognition from a pair of calibrated stereo cameras. In a first step, the algorithm builds a stereo reconstruction of...
Rik Fransens, Christoph Strecha, Luc J. Van Gool

Book
600views
15 years 7 months ago
Computer Vision: Algorithms and Applications
A DRAFT computer vision book by Prof. Richard Szeliski. The book reflects the author's wide experience in practical computer vision algorithms that he has developed while work...
Richard Szeliski
PAMI
1998
94views more  PAMI 1998»
13 years 7 months ago
Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
—This paper proposes a novel method for matching images. The results can be used for a variety of applications: fully automatic morphing, object recognition, stereo photogrammetr...
Yoshihisa Shinagawa, Tosiyasu L. Kunii