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» Face Recognition Based on 2D and 3D Features
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PR
2008
87views more  PR 2008»
14 years 9 months ago
Two-dimensional Laplacianfaces method for face recognition
In this paper we propose a two-dimensional (2D) Laplacianfaces method for face recognition. The new algorithm is developed based on two techniques, i.e., locality preserved embedd...
Ben Niu, Qiang Yang, Simon Chi-Keung Shiu, Sankar ...
TSMC
2010
14 years 4 months ago
Studies on Hyperspectral Face Recognition in Visible Spectrum With Feature Band Selection
: This paper studies face recognition by using hyperspectral imagery in the visible light bands. The spectral measurements over the visible spectrum have different discriminatory i...
Wei Di, Lei Zhang 0006, David Zhang, Quan Pan
IBPRIA
2007
Springer
14 years 11 months ago
Segmentation of Rigid Motion from Non-rigid 2D Trajectories
Abstract. In this paper we evaluate an automatic segmentation algorithm able to identify the set of rigidly moving points within a deformable object given the 2D measurements acqui...
Alessio Del Bue, Xavier Lladó, Lourdes de A...
AUSAI
2005
Springer
15 years 3 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee
PAMI
2011
14 years 15 days ago
Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction
—3D object reconstruction from a single 2D line drawing is an important problem in computer vision. Many methods have been presented to solve this problem, but they usually fail ...
Jianzhuang Liu, Yu Chen, Xiaoou Tang