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» Statistical Models of Appearance for Computer Vision
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ICPR
2010
IEEE
14 years 10 months ago
Matching Groups of People by Covariance Descriptor
In this paper, we present a new solution to the problem of matching groups of people across multiple nonoverlapping cameras. Similar to the problem of matching individuals across ...
Yinghao Cai, Valtteri Takala, Matti Pietikäin...
ECCV
2006
Springer
16 years 1 months ago
Face Recognition from Video Using the Generic Shape-Illumination Manifold
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
Ognjen Arandjelovic, Roberto Cipolla
ACCV
2009
Springer
15 years 6 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
CVPR
2007
IEEE
16 years 1 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
ICPR
2008
IEEE
16 years 1 months ago
Generic scale-space process for handwriting documents analysis
This paper presents a generic architecture for handwriting documents analysis. It covers all analysis steps from the content description of the document (layout analysis, handwrit...
Guillaume Joutel, Hubert Emptoz, Véronique ...