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TNN
2008
141views more  TNN 2008»
14 years 9 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
CAIP
2007
Springer
152views Image Analysis» more  CAIP 2007»
15 years 4 months ago
Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniques
Abstract. In this paper we present a novel analysis-by-synthesis approach for real-time camera tracking in industrial scenarios. The camera pose estimation is based on the tracking...
Harald Wuest, Folker Wientapper, Didier Stricker
CGF
2002
91views more  CGF 2002»
14 years 9 months ago
Modeling Surperspective Projection of Landscapes for Geographical Guide-Map Generation
It is still challenging to generate hand-drawn pictures because they differ from ordinary photographs in that they are often drawn as seen from multiple viewpoints. This paper pre...
Shigeo Takahashi, Naoya Ohta, Hiroko Nakamura, Yur...
GLVLSI
2003
IEEE
202views VLSI» more  GLVLSI 2003»
15 years 3 months ago
System level design of real time face recognition architecture based on composite PCA
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Rajkiran Gottumukkal, Vijayan K. Asari
CVPR
2006
IEEE
15 years 11 months ago
Local Steerable Phase (LSP) Feature for Face Representation and Recognition
In this paper, we propose a novel local steerable phase (LSP) feature extracted from the face image using steerable filter for face representation and recognition. Steerable filte...
Xiaoxun Zhang, Yunde Jia