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A model-based approach for estimating human 3d poses in static images

Author
MUN WAI LEE1 ; COHEN, Isaac1
[1] Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA 90089, United States
Source

IEEE transactions on pattern analysis and machine intelligence. 2006, Vol 28, Num 6, pp 905-916, 12 p ; ref : 36 ref

CODEN
ITPIDJ
ISSN
0162-8828
Scientific domain
Control theory, operational research; Computer science
Publisher
IEEE Computer Society, Los Alamitos, CA
Publication country
United States
Document type
Article
Language
English
Author keyword
Three-dimensional human pose estimation from static images body parts detector data driven Markov chain Monte Carlo generative models
Keyword (fr)
Analyse forme Chaîne Markov Contenu image Image tridimensionnelle Interprétation image Interrogation base donnée Méthode Monte Carlo Recherche image Recherche information Corps humain Estimation pose corps humain 3 dimensions Image statique
Keyword (en)
Pattern analysis Markov chain Image content Tridimensional image Image interpretation Database query Monte Carlo method Image retrieval Information retrieval Human body
Keyword (es)
Análisis forma Cadena Markov Contenido imagen Imagen tridimensional Interpretación imágen Interrogación base datos Método Monte Carlo Búsqueda información Cuerpo humano
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17748011

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

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