A Bioinspired Approach to Vision

Daniel Camilleri, Luke William Boorman, Uriel Martinez Hernandez, Andreas C. Damianou, Tony J. Prescott

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


This paper describes the design of a computational vision framework inspired by the cortices of the brain. The proposed framework carries out visual saliency and provides pathways through which object segmentation, learning and recognition skills can be learned and acquired through experience.
Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems (TAROS), 2016
EditorsL. Alboul, D. Damian, J. M. Aitken
Place of PublicationCham, Switzerland
Number of pages13
ISBN (Print)9783319403786
Publication statusPublished - 1 Apr 2016
Event17th Annual Conference, TAROS 2016 - Sheffield, UK United Kingdom
Duration: 26 Jun 20161 Jul 2016

Publication series

NameLecture Notes in Computer Science


Conference17th Annual Conference, TAROS 2016
CountryUK United Kingdom


Cite this

Camilleri, D., Boorman, L. W., Martinez Hernandez, U., Damianou, A. C., & Prescott, T. J. (2016). A Bioinspired Approach to Vision. In L. Alboul, D. Damian, & J. M. Aitken (Eds.), Towards Autonomous Robotic Systems (TAROS), 2016 (pp. 40-52). (Lecture Notes in Computer Science; Vol. 9716). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-40379-3_5