• Simulation of aging effects in...

Treffer: Simulation of aging effects in face images

Title:
Simulation of aging effects in face images
Authors:
JUNYAN WANG, YAN SHANG, GUANGDA SU, XINGGANG LIN
Source:
Intelligent computing in signal processing and pattern recognition (International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006)0ICIC 2006. :517-527
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 11 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Documentation, 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, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Age, Edad, Faciès, Facies, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Réseau neuronal, Neural network, Red neuronal, Texture, Textura
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Research Institute of Image and Graphics, Dept of Electronic Engineering, Tsinghua University, Beijing, China
ISSN:
0170-8643
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18315869
Rights:
Copyright 2006 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.18315869
Database:
PASCAL Archive

Weitere Informationen

In this paper a method of simulating aging effects automatically in face images is proposed. The first step of the method is to represent a facial image by a pair of shape and texture vectors which are extracted by projecting its shape and texture in the eigenspaces of shape or texture separately. The second is estimating the age of face image by Intelligence Increasing Neural Network. After this, the synthesized shape and texture vectors at target age are generated by using typical vector creating function, estimated age and the feature vector of the original test image. At last the synthesized shape and texture vectors at target age are reconstructed in eigenspaces to get the shape and texture at target age which are combined to synthesize facial image at target age. Experiments show that the proposed method can effectively change the age of face images.