The Comparation Between Visual Topology Cognition And Machine Vision

Human receive information from outside would relies mainly through visions.Through a series of psychological experiments,Chen Lin discovered that human visual cognition begins with the identification of the topological properties of objects,and the visual grasp of the topological invariance in objects.Topological invariance is a geometric property that remains unchanged under continuous transformation.Since the birth of computer and artificial intelligence,people have tried to simulate the human visual process with machines,but this is a difficult process,because the human visual cognitive process depends not only on the eyes,but also on the brain to a large extent.At least 35 regions in the cerebral cortex are related to visual information processing.Each region has its own functions,and they are interrelated with each other,which determines the complexity of its mechanism and function.In these regions,there is the perception of topological properties,which also shows the complexity of topological cognition.Starting from the study of human visual origin,this paper compares the research of machine vision with that of machine vision in order to promote machine vision.Firstly,this paper summarizes and analyses the process of human visual information processing from the perspective of physiology and psychology by studying the physiological structure and working mechanism of vision and the process of visual information processing,and studies the topological change in the process of visual cognition by combining the rules of visual perception organization with the theory of topological perception and the early perception theory of topological nature.The most important feature is to clarify the topological cognitive properties in visual information processing by combining mathematical knowledge such as topological space,discrete topology and connected space.Secondly,this paper combines the development of vision,vision research and machine recognition to analyze machine vision,and makes an experimental intelligent obstacle avoidance car to understand machine vision.Some phenomena in life,such as visual illusion,ambiguity of vision and perceptual characteristics,are compared between human vision and machine vision.Finally,the experimental part of the theoretical research results is preliminarily attempted,and the experimental framework system is preliminarily completed,but the translation from human vision principle to machine vision platform is not far from achieved.Only by practicing the face recognition function in the student management system,the recognition function can be achieved initially.