Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects

Visual sensation and perception refers to the process of sensing, organizing, identifying, and interpreting visual information in environmental awareness and understanding. Computational models inspired by visual perception have the characteristics of complexity and diversity, as they come from many...

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Bibliographic Details
Published inarXiv.org
Main Authors Wei, Bing, Zhao, Yudi, Kuangrong Hao, Gao, Lei
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 08.09.2021
Subjects
Artificial intelligence
Biological computing
Cognition
Deep learning
Visual perception
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ISSN2331-8422

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Summary:Visual sensation and perception refers to the process of sensing, organizing, identifying, and interpreting visual information in environmental awareness and understanding. Computational models inspired by visual perception have the characteristics of complexity and diversity, as they come from many subjects such as cognition science, information science, and artificial intelligence. In this paper, visual perception computational models oriented deep learning are investigated from the biological visual mechanism and computational vision theory systematically. Then, some points of view about the prospects of the visual perception computational models are presented. Finally, this paper also summarizes the current challenges of visual perception and predicts its future development trends. Through this survey, it will provide a comprehensive reference for research in this direction.
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ObjectType-Working Paper/Pre-Print-1
ISSN:2331-8422