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Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition

Author
SHIQI YU1 ; DAOLIANG TAN1 ; TIENIU TAN1
[1] National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O.Box 2728, Beijing, 100080, China
Conference title
Computer vision (ACCV 2006)
Conference name
Asian Conference on Computer Vision (7 ; Hyderabad 2006)
Author (monograph)
Narayanan, P. J (Editor); Nayar, Shree K (Editor); Shum, Heung-Yeung (Editor)
Source

Lecture notes in computer science. 2006 ; 2Vol, pp 807-816, 10 p ; ref : 9 ref

ISSN
0302-9743
ISBN
3-540-31219-6
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Allure Base de données Emotion émotivité Modèle géométrique Modélisation Posture Reconnaissance forme Système information Traitement image Vision ordinateur Vue multiple
Keyword (en)
Gait Database Emotion emotionality Geometrical model Modeling Posture Pattern recognition Information system Image processing Computer vision Multiple view
Keyword (es)
Marcha Base dato Emoción emotividad Modelo geométrico Modelización Postura Reconocimiento patrón Sistema información Procesamiento imagen Visión ordenador Vista múltiple
Classification
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
20046371

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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