Biological models for active vision: Towards a unified architecture

Kasim Terzić, David Lobato, Mário Saleiro, Jaime Martins, Miguel Farrajota, J. M.F. Rodrigues, J. M.H. Du Buf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputer Vision Systems - 9th International Conference, ICVS 2013, Proceedings
Pages113-122
Number of pages10
DOIs
Publication statusPublished - 13 Aug 2013
Event9th International Conference on Computer Vision Systems, ICVS 2013 - St. Petersburg, Russian Federation
Duration: 16 Jul 201318 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7963 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Computer Vision Systems, ICVS 2013
Country/TerritoryRussian Federation
CitySt. Petersburg
Period16/07/1318/07/13

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