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» Shape and albedo from multiple images using integrability
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AMFG
2003
IEEE
126views Biometrics» more  AMFG 2003»
15 years 2 months ago
Rank Constrained Recognition under Unknown Illuminations
Recognition under illumination variations is a challenging problem. The key is to successfully separate the illumination source from the observed appearance. Once separated, what ...
Shaohua Kevin Zhou, Rama Chellappa
ICPR
2008
IEEE
15 years 10 months ago
Integration of time-sequential range images for reconstruction of a high-resolution 3D shape
The recognition of dynamic scenes using 3D shapes could provide useful approaches for various applications. However, the conventional 3D-shape sensing systems dedicated for such s...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
MIRAGE
2009
Springer
15 years 4 months ago
Interpreting Face Images by Fitting a Fast Illumination-Based 3D Active Appearance Model
Abstract. We present a fast and robust iterative method for interpreting face images under non-uniform lighting conditions by using a fitting algorithm which utilizes an illuminat...
Salvador E. Ayala-Raggi, Leopoldo Altamirano Roble...
SCALESPACE
2009
Springer
15 years 4 months ago
Generic Scene Recovery Using Multiple Images
In this paper, a generative model based method for recovering both the shape and the reflectance of the surface(s) of a scene from multiple images is presented, assuming that illu...
Kuk-Jin Yoon, Emmanuel Prados, Peter F. Sturm
JMM2
2008
124views more  JMM2 2008»
14 years 9 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang