Biological models for active vision: towards a unified architecture

• Autor(es): Terzic, Kasim ; Lobato, David ; Saleiro, Mário ; Martins, Jaime A. ; Farrajota, Miguel ; Rodrigues, J. M. F. ; du Buf, J. M. H.
• Data: 2013
• Identificador Persistente: http://hdl.handle.net/10400.1/3395
• Origem: Sapientia - Universidade do Algarve
• Tipo de Documento: Parte ou capítulo de livro
• Idioma: Inglês

Descrição

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.