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» Robust Principal Component Analysis for Computer Vision
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CVPR
1998
IEEE
14 years 9 months ago
Hierarchical Morphable Models
This paper presents a new technique for modelling object classes (such as faces) and matching the model to novel images from the object class. The technique can be used for a vari...
Michael J. Jones, Tomaso Poggio
CVPR
2007
IEEE
14 years 9 months ago
A Component-Based Approach to Hand Verification
This paper describes a novel hand-based verification system based on palm-finger segmentation and fusion. The proposed system operates on 2D hand images acquired by placing the ha...
Gholamreza Amayeh, George Bebis, Ali Erol, Mircea ...
ISMAR
2006
IEEE
14 years 1 months ago
Going out: robust model-based tracking for outdoor augmented reality
This paper presents a model-based hybrid tracking system for outdoor augmented reality in urban environments enabling accurate, realtime overlays for a handheld device. The system...
Gerhard Reitmayr, Tom Drummond
CVPR
2000
IEEE
14 years 3 days ago
Error Analysis of Background Adaption
Background modeling is a common component in video surveillance systems and is used to quickly identify regions of interest. To increase the robustness of background subtraction t...
Xiang Gao, Terrance E. Boult, Frans Coetzee, Visva...
NIPS
1997
13 years 9 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis