Active perception/vision Author: Elena Pasquinelli [INSTNICOD] Contributors: none Current version (on 2006-02-09) Active or interactive perception approaches defend the idea that perception is not a pure and passive form of representation, in that the sensory systems are not simply hit by the external reality in its entirety, but actively contribute to the construction of its perception, and that this is done with the involvement of the motor systems. Active perception theories include a group of approaches named ‘Active Vision’ and ‘Interactive Vision’. [Blake & Yuille, 1992] Active Vision approach, for instance, insists on the fact that moving facilitates the interaction of the visual sensors with the environment. The active orientation of the sensors empowers the observer (which can be a human or a computer) to select the environmental information, thus to understand a visual environment more effectively and efficiently. [Churchland, Ramachandran & Sejnowski, 1994] in the chapter “A Critique of Pure Vision” criticizes pure vision systems (those where the flow of information is only bottom up) and the assertions that we see a complete world; that is to say that the retina records a complete image which is further and at leisure analyzed; that information and representations follow a hierarchical organization; that information flows bottom up, with high-level and mid-level representations depending only on the low-level processes. The target of this description is the approach to vision that is contained in [Marr, 1982] and which constitutes the mainstream in computer vision research. In particular, of Marr’s three hierarchical levels of visual representations: the lowest level of the primal sketch, where an image represents intensity over an array of points in space, the 2 1/2-D sketch and the higher level where the 2 1/2 –D sketch is converted into the 3-D view of the objects of the scene. Opposed to the idea of pure vision is the approach of interactive vision where information flows top-down. The main principles of the interactive vision approach state that perception evolved in order to satisfy distinct and variegated needs (and not only to provide a photorealistic

image of reality). In fact, we see only a portion of the visible world, and movement redirects attention and then reorients the visual system; motion and vision are then strictly connected: movement allows the system to see more of the world. The role of movement is well illustrated by the existence of saccadic eye movements: the viewer cannot clearly see the entire scene, but he gradually explores parts of it. Instead of being photorealistic, vision is interactive and predictive, since it builds models of the world and predicts what can be interesting for the system. The neurophysiological architecture finally is not hierarchical, and much information flows both ways; memory and vision for instance interact.

References: Blake, A., & Yuille, A. (1992). Active Visions. Cambridge, Mass.: MIT Press. Churchland, P. S., Ramachandran, V. S.., Sejnowski, T. J. (1994). A critique of pure vision. In C. Koch & J. L. Davis (Eds.), Large scale neuronal theories of the brain (23-60). Cambridge, MA: MIT Press. Marr, D. (1982). Vision. New York: W. H. Freeman and Co.

Related items: Cognitive sciences Active perception/touch Active/passive perception Perception. Motor theories

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Active perception/vision

[Blake & Yuille, 1992] Active Vision approach, for instance, ... a human or a computer) to select the environmental ... mainstream in computer vision research.

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