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Early Visual Processing of Feature Saliency Tasks: A Review of Psychophysical Experiments.
Kamkar, Shiva; Moghaddam, Hamid Abrishami; Lashgari, Reza.
Affiliation
  • Kamkar S; Machine Vision and Medical Image Processing Laboratory, Faculty of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran.
  • Moghaddam HA; Brain Engineering Research Center, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
  • Lashgari R; Machine Vision and Medical Image Processing Laboratory, Faculty of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran.
Front Syst Neurosci ; 12: 54, 2018.
Article in En | MEDLINE | ID: mdl-30416433
The visual system is constantly bombarded with information originating from the outside world, but it is unable to process all the received information at any given time. In fact, the most salient parts of the visual scene are chosen to be processed involuntarily and immediately after the first glance along with endogenous signals in the brain. Vision scientists have shown that the early visual system, from retina to lateral geniculate nucleus (LGN) and then primary visual cortex, selectively processes the low-level features of the visual scene. Everything we perceive from the visual scene is based on these feature properties and their subsequent combination in higher visual areas. Different experiments have been designed to investigate the impact of these features on saliency and understand the relative visual mechanisms. In this paper, we review the psychophysical experiments which have been published in the last decades to indicate how the low-level salient features are processed in the early visual cortex and extract the most important and basic information of the visual scene. Important and open questions are discussed in this review as well and one might pursue these questions to investigate the impact of higher level features on saliency in complex scenes or natural images.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Syst Neurosci Year: 2018 Document type: Article Affiliation country: Iran Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Syst Neurosci Year: 2018 Document type: Article Affiliation country: Iran Country of publication: Switzerland