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» Face Recognition Based on 2D and 3D Features
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SMI
2008
IEEE
181views Image Analysis» more  SMI 2008»
15 years 4 months ago
SHREC - 08 entry: Local 2D visual features for CAD Model retrieval
A local shape feature has an advantage in dealing with deformable or articulated 3D models. We evaluate the performance of our local, 2D visual features and their integration meth...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
ACCV
2007
Springer
15 years 3 months ago
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...
Kazuhiro Fukui, Osamu Yamaguchi
PAMI
2002
184views more  PAMI 2002»
14 years 9 months ago
Identifying Faces in a 2D Line Drawing Representing a Manifold Object
A straightforward way to illustrate a 3D model is to use a line drawing. Faces in a 2D line drawing provide important information for reconstructing its 3D geometry. Manifold objec...
Jianzhuang Liu, Yong Tsui Lee, Wai-kuen Cham
IUI
2011
ACM
14 years 17 days ago
Protractor3D: a closed-form solution to rotation-invariant 3D gestures
Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor [8] to 3D gestures. It inherits many of Protractor’s desirable properties, s...
Sven G. Kratz, Michael Rohs
FGR
2004
IEEE
212views Biometrics» more  FGR 2004»
15 years 1 months ago
Automatic 3D Face Recognition Combining Global Geometric Features with Local Shape Variation Information
Face recognition is a focused issue in pattern recognition over the past decades. In this paper, we have proposed a new scheme for face recognition using 3D information. In this s...
Chenghua Xu, Yunhong Wang, Tieniu Tan, Long Quan