Biological models for active vision: towards a unified architecture

Terzic, Kasim; Lobato, D.; Saleiro, Mário; Martins, Jaime; Farrajota, Miguel; Rodrigues, J. M. F.; du Buf, J. M. H.

http://hdl.handle.net/10400.1/3395

Utilize este identificador para referenciar este registo.

Nome:	Descrição:	Tamanho:	Formato:
icvs2013.pdf		1.07 MB	Adobe PDF	Ver/Abrir

Contacte-nos

Autores

Resumo(s)

Building a general-purpose, real-time active vision system completely based on biological models is a great challenge. We apply a number of biologically plausible algorithms which address different aspects of vision, such as edge and keypoint detection, feature extraction,optical flow and disparity, shape detection, object recognition and scene modelling into a complete system. We present some of the experiments from our ongoing work, where our system leverages a combination of algorithms to solve complex tasks.

URI

http://hdl.handle.net/10400.1/3395

Citação

Terzic, Kasim; Lobato, David; Saleiro, Mário; Martins, Jaime; Farrajota, Miguel; Rodrigues, J. M. F.; Buf, J. M. H.Biological Models for Active Vision: Towards a Unified Architecture, In Computer Vision Systems, 113-122, ISBN: 978-3-642-39401-0. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Projetos de investigação

A neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning.

Projeto de investigaçãoVer mais

Editora

Springer Berlin Heidelberg

DOI

http://dx.doi.org/10.1007/978-3-642-39402-7_12

Coleções

ISE3-Livros (ou partes, com ou sem arbitragem científica)

Métricas Alternativas

Ver registo completo