Per citar aquest document: http://ddd.uab.cat/record/118704
Overcomplete Image Representations for Texture Analysis
Nava, Rodrigo

Data: 2014
Resum: In recent years, computer vision has played an important role in many scientific and technological areas mainlybecause modern society highlights vision over other senses. At the same time, application requirements and complexity have also increased so that in many cases the optimal solution depends on the intrinsic charac-teristics of the problem; therefore, it is difficult to propose a universal image model. In parallel, advances in understanding the human visual system have allowed to propose sophisticated models that incorporate simple phenomena which occur in early stages of the visual system. This dissertation aims to investigate characteristicsof vision such as over-representation and orientation of receptive fields in order to propose bio-inspired image models for texture analysis.
Nota: Advisor/s: Dr. Boris Escalante-Ramírez and Dr. Gabriel Cristóbal. Date and location of PhD thesis defense: 23th October 2013, Universidad Nacional Autónoma de México.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès
Document: other ; abstract ; publishedVersion
Matèria: Gabor filters ; Local Binary patterns ; Bio-inspired models
Publicat a: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 40-41, ISSN 1577-5097

Adreça alternativa: http://www.raco.cat/index.php/ELCVIA/article/view/281631


Abstract & references
2 p, 71.9 KB

Thesis
107 p, 3.5 MB

El registre apareix a les col·leccions:
Articles > Articles publicats > ELCVIA : Electronic Letters on Computer Vision and Image Analysis

 Registre creat el 2014-06-12, darrera modificació el 2016-06-04



   Favorit i Compartir