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» Design and Use of Linear Models for Image Motion Analysis
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ECCV
2002
Springer
14 years 9 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
MM
2006
ACM
119views Multimedia» more  MM 2006»
14 years 1 months ago
Model generation for video-based object recognition
This paper presents a novel approach to object recognition involving a sparse 2D model and matching using video. The model is generated on the basis of geometry and image measurab...
Humera Noor, Shahid H. Mirza, Yaser Sheikh, Amit J...
BMCBI
2010
97views more  BMCBI 2010»
13 years 7 months ago
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear a
Background: Protein kinases play crucial roles in cell growth, differentiation, and apoptosis. Abnormal function of protein kinases can lead to many serious diseases, such as canc...
Maris Lapinsh, Jarl E. S. Wikberg
ECCV
2002
Springer
14 years 9 months ago
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
Abstract This paper presents a novel algorithm aiming at analysis and identification of faces viewed from different poses and illumination conditions. Face analysis from a single i...
Sami Romdhani, Volker Blanz, Thomas Vetter
ICIP
2004
IEEE
14 years 9 months ago
Rate distortion analysis of leaky prediction layered video coding using quantization noise modeling
Unlike conventional layered scalable video coding, leaky prediction layered video coding (LPLC) introduces a leaky factor , which takes on values in the range between 0 and 1, to ...
Yuxin Liu, Josep Prades-Nebot, Paul Salama, Edward...