Maximum likelihood estimation of depth field for trinocular images
- Author
- NERI, A1 ; CARLI, M1 ; BATTISTI, F1
[1] University of Roma TRE, Applied Electronics Department, via della Vasca Navale, 84, Roma 00146, Italy - Source
Electronics letters. 2013, Vol 49, Num 6, pp 394-396, 3 p ; ref : 8 ref
- CODEN
- ELLEAK
- ISSN
- 0013-5194
- Scientific domain
- Electronics; Optics; Telecommunications
- Publisher
- Institution of Engineering and Technology, Stevenage
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Corrélation croisée Evaluation performance Géométrie épipolaire Information Fisher Maximum vraisemblance Profondeur champ Vision ordinateur Vision stéréoscopique
- Keyword (en)
- Cross correlation Performance evaluation Epipolar geometry Fisher information Maximum likelihood Depth of field Computer vision Stereopsis
- Keyword (es)
- Correlación cruzada Evaluación prestación Geometría epipolar Información Fisher Maxima verosimilitud Profundidad campo Visión ordenador Visión estereoscópica
- 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
- 27129850
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
10.1049/el.2012.2978 
https://dx.doi.org/10.1049/el.2012.2978
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