Abstract
Methods explored in understanding biological vision are also helpful to improve computer vision and make it more robust.
Schematic of the synergistic approach between biological and artificial vision.
Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision
Computer Vision and Image Understanding ·
BibTeX
@article{medathati2016bioinspired,
title = {Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision},
author = {Medathati, N. V. Kartheek and Neumann, Heiko and Masson, Guillaume S. and Kornprobst, Pierre},
journal = {Computer Vision and Image Understanding},
volume = {150},
pages = {1--30},
year = {2016},
doi = {10.1016/j.cviu.2016.04.009},
issn = {1077-3142}
}Recommended citation: N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst. *Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision.* Computer Vision and Image Understanding, Volume 150, 2016, Pages 1–30. DOI: 10.1016/j.cviu.2016.04.009