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 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.
