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» Detection of Multiple Deformable Objects using PCA-SIFT
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156
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PAMI
2010
273views more  PAMI 2010»
14 years 10 months ago
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. In this paper, we refer to activities as motion patterns of objects...
Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
144
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DSMML
2004
Springer
15 years 9 months ago
Object Recognition via Local Patch Labelling
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Christopher M. Bishop, Ilkay Ulusoy
ECCV
2002
Springer
16 years 5 months ago
Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry
We present a new method for the detection and estimation of multiple illuminants, using one image of any object with known geometry and Lambertian reflectance. Our method obviates ...
Yang Wang, Dimitris Samaras
117
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AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 3 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
IJCV
2006
165views more  IJCV 2006»
15 years 3 months ago
A Critical View of Context
In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...
Lior Wolf, Stanley M. Bileschi