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ECCV
2000
Springer
15 years 11 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
IBPRIA
2005
Springer
15 years 3 months ago
The Contribution of External Features to Face Recognition
In this paper we propose a face recognition algorithm that combines internal and external information of face images. Most of the previous works dealing with face recognition use o...
Àgata Lapedriza, David Masip, Jordi Vitri&a...
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 1 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
AIPR
2005
IEEE
15 years 3 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Semantic 3D Face Mesh Simplification for Transmission and Visualization
Three-dimensional data generated from range scanners is usually composed of a huge amount of information. Simplification and compression techniques must be adopted in order to red...
Alessandro Colombo, Claudio Cusano, Raimondo Schet...