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» Design and Use of Linear Models for Image Motion Analysis
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ICCV
2001
IEEE
14 years 10 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
SIAMIS
2010
171views more  SIAMIS 2010»
13 years 3 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...
AISS
2010
147views more  AISS 2010»
13 years 6 months ago
Correlating Lattice Constant of Cubic Perovskites to Atomic Parameters Using Support Vector Regression
Recently, due to problems arising from lattice mismatch in thin film growth in semiconductor manufacturing industry, researchers have shown great interest in modeling the physioch...
Abdul Majid, Yeon Soo Lee
FGR
2000
IEEE
193views Biometrics» more  FGR 2000»
14 years 1 months ago
Robust 3D Head Tracking Under Partial Occlusion
This paper describes a novel system for 3D head tracking under partial occlusion from 2D monocular image sequences. In this system, The Extended Superquadric (ESQ) is used to gene...
Ye Zhang, Chandra Kambhamettu
ICSE
2009
IEEE-ACM
14 years 3 months ago
Save-IDE - A tool for design, analysis and implementation of component-based embedded systems
The paper presents Save-IDE, an Integrated Development Environment for the development of component-based embedded systems. Save-IDE supports efficient development of dependable ...
Séverine Sentilles, Anders Pettersson, Dag ...