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» Combined visual attention model for video sequences
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CVPR
2008
IEEE
15 years 11 months ago
Reconstructing non-stationary articulated objects in monocular video using silhouette information
This paper presents an approach to reconstruct nonstationary, articulated objects from silhouettes obtained with a monocular video sequence. We introduce the concept of motion blu...
Saad M. Khan, Mubarak Shah
CVPR
2007
IEEE
15 years 11 months ago
A Hierarchical Model of Shape and Appearance for Human Action Classification
We present a novel model for human action categorization. A video sequence is represented as a collection of spatial and spatial-temporal features by extracting static and dynamic...
Juan Carlos Niebles, Fei-Fei Li 0002
CVPR
2006
IEEE
14 years 11 months ago
Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification
Recently, there has been a flurry of research on face recognition based on multiple images or shots from either a video sequence or an image set. This paper is also such an attemp...
Wei Fan, Dit-Yan Yeung
3DPVT
2002
IEEE
165views Visualization» more  3DPVT 2002»
15 years 2 months ago
Multi-Stereo 3D Object Reconstruction
We present a method for the reconstruction of a 3D real object from a sequence of high-definition images. We combine two different procedures: a shape from silhouette technique w...
Carlos Hernández Esteban, Francis Schmitt
ICMCS
2006
IEEE
191views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Human Vision System Aware Exhaustive Block-Matching Algorithm
In this work, homomorphic image modeling is used to make the exhaustive block-matching algorithm (EBMA) more human vision system (HVS) aware, thus yielding visually pleasing seque...
David Lin, Paul Chau