Result: Template matching approach for pose problem in face verification
Title:
Template matching approach for pose problem in face verification
Authors:
Source:
Multimedia content representation, classification and security (International Workshop, MRCS 2006, Istanbul, Turkey, September 11-13, 2006)0MRCS 2006. :191-198
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 10 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse contenu, Content analysis, Análisis contenido, Appariement image, Image matching, Autoassociation, Self association, Autoasociación, Classification, Clasificación, Concordance forme, Pattern matching, Faciès, Facies, Modélisation, Modeling, Modelización, Multimédia, Multimedia, Réseau neuronal, Neural network, Red neuronal, Sécurité informatique, Computer security, Seguridad informatica, Traitement image, Image processing, Procesamiento imagen
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Speech and Vision Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai-600036, India
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19151358
Database:
PASCAL Archive
Further Information
In this paper we propose a template matching approach to address the pose problem in face verification, which neither synthesizes the face image, nor builds a model of the face image. Template matching is performed using edginess-based representation of face images. The edginess-based representation of face images is computed using one-dimensional (1-D) processing of images. An approach is proposed based on autoassociative neural network (AANN) models to verify the identity of a person using score obtained from template matching.