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» Robust Facial Feature Localization by Coupled Features
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CVPR
2009
IEEE
15 years 2 months ago
Implicit Elastic Matching with Random Projections for Pose-variant Face Recognition
We present a new approach to robust pose-variant face recognition, which exhibits excellent generalization ability even across completely different datasets due to its weak depe...
John Wright (University of Illinois), Gang Hua (Mi...
RAS
2010
136views more  RAS 2010»
13 years 6 months ago
A realistic benchmark for visual indoor place recognition
An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate loc...
Andrzej Pronobis, Barbara Caputo, Patric Jensfelt,...
ICIP
2006
IEEE
14 years 9 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICB
2007
Springer
134views Biometrics» more  ICB 2007»
14 years 1 months ago
Singular Points Analysis in Fingerprints Based on Topological Structure and Orientation Field
Abstract. As an important feature of fingerprints, singular points (includingcores and deltas) not only represent the local ridge pattern characteristics, but also determine the to...
Jie Zhou, Jinwei Gu, David Zhang
ICTAI
2006
IEEE
14 years 1 months ago
An Approximation to Mean-Shift via Swarm Intelligence
Mean shift based feature space analysis has been shown to be an elegant, accurate and robust technique. The elegance in this non-parametric algorithm is mainly due to its simplici...
Mani Thomas, Chandra Kambhamettu