Subspace Estimation Using Projection Based M-Estimators over Grassmann Manifolds
- Author
- SUBBARAO, Raghav1 ; MEER, Peter1
[1] Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854, United States - Conference title
- Computer vision (ECCV 2006)
- Conference name
- European Conference on Computer Vision (9 ; Graz 2006)
- Author (monograph)
- Leonardis, Aleš (Editor); Bischof, Horst (Editor); Pinz, Axel (Editor)
- Source
Lecture notes in computer science. 2006, pp 301-312, 12 p ; ref : 20 ref
- ISSN
- 0302-9743
- ISBN
- 3-540-33832-2
- Scientific domain
- Computer science
- Publisher
- Springer, Berlin
/
Springer, New York
- Publication country
- Germany
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Ajustement modèle Espace vectoriel Estimation M Méthode sous espace Observation aberrante Segmentation Système dynamique Système n corps Traitement image Vision ordinateur
- Keyword (en)
- Model matching Vector space M estimation Subspace method Outlier Segmentation Dynamical system N body system Image processing Computer vision
- Keyword (es)
- Ajustamiento modelo Espacio vectorial Estimación M Método subespacio Observación aberrante Segmentación Sistema dinámico Sistema n cuerpos Procesamiento imagen Visión ordenador
- 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
- 20046122
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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DOI
10.1007/11744023_24 
https://dx.doi.org/10.1007/11744023_24
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