A Bioinspired Approach to Vision

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

doi:10.1007/978-3-319-40379-3_5

A Bioinspired Approach to Vision

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

Department of Electronic & Electrical Engineering

University of Sheffield

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

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 language	English
Title of host publication	Towards Autonomous Robotic Systems (TAROS), 2016
Editors	L. Alboul, D. Damian, J. M. Aitken
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	40-52
Number of pages	13
ISBN (Print)	9783319403786
DOIs	https://doi.org/10.1007/978-3-319-40379-3_5
Publication status	Published - 1 Apr 2016
Event	17th Annual Conference, TAROS 2016 - Sheffield, UK United Kingdom Duration: 26 Jun 2016 → 1 Jul 2016

Publication series

Name	Lecture Notes in Computer Science
Volume	9716

Conference

Conference	17th Annual Conference, TAROS 2016
Country/Territory	UK United Kingdom
City	Sheffield
Period	26/06/16 → 1/07/16

Access to Document

10.1007/978-3-319-40379-3_5

Cite this

A Bioinspired Approach to Vision. / Camilleri, Daniel ; Boorman, Luke William; Martinez Hernandez, Uriel et al.
Towards Autonomous Robotic Systems (TAROS), 2016. ed. / L. Alboul; D. Damian; J. M. Aitken. Cham, Switzerland: Springer, 2016. p. 40-52 (Lecture Notes in Computer Science; Vol. 9716).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Camilleri, D, Boorman, LW, Martinez Hernandez, U, Damianou, AC & Prescott, TJ 2016, A Bioinspired Approach to Vision. in L Alboul, D Damian & JM Aitken (eds), Towards Autonomous Robotic Systems (TAROS), 2016. Lecture Notes in Computer Science, vol. 9716, Springer, Cham, Switzerland, pp. 40-52, 17th Annual Conference, TAROS 2016, Sheffield, UK United Kingdom, 26/06/16. https://doi.org/10.1007/978-3-319-40379-3_5

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title = "A Bioinspired Approach to Vision",

abstract = "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.",

author = "Daniel Camilleri and Boorman, {Luke William} and {Martinez Hernandez}, Uriel and Damianou, {Andreas C.} and Prescott, {Tony J.}",

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T2 - 17th Annual Conference, TAROS 2016

Y2 - 26 June 2016 through 1 July 2016

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A Bioinspired Approach to Vision

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