TY - GEN
T1 - A Bioinspired Approach to Vision
AU - Camilleri, Daniel
AU - Boorman, Luke William
AU - Martinez Hernandez, Uriel
AU - Damianou, Andreas C.
AU - Prescott, Tony J.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84977560465
U2 - 10.1007/978-3-319-40379-3_5
DO - 10.1007/978-3-319-40379-3_5
M3 - Chapter in a published conference proceeding
SN - 9783319403786
T3 - Lecture Notes in Computer Science
SP - 40
EP - 52
BT - Towards Autonomous Robotic Systems (TAROS), 2016
A2 - Alboul, L.
A2 - Damian, D.
A2 - Aitken, J. M.
PB - Springer
CY - Cham, Switzerland
T2 - 17th Annual Conference, TAROS 2016
Y2 - 26 June 2016 through 1 July 2016
ER -