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Research in the field of '''perceptual systems''' |
Research in the field of '''perceptual systems''' focuses on computational aspects of [[perception]]. For this reason, there is significant overlap with [[neuroscience]], [[sensor]] design, [[natural scene statistics]]<ref>Geisler WS (2008) Visual perception and the statistical properties of natural scenes. Annual Review of Psychology. 59:167-192.</ref><ref>Lewicki MS (2002) Efficient coding of natural sounds. Nature Neuroscience 5(4):356-363.</ref>, and [[computer science]]. |
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Revision as of 23:08, 27 May 2010
A perceptual system is a computer designed to make inferences about properties of a physical environment based on scenes.[1] In this context, a scene is defined as information that can flow from a physical environment into the computer via sensory transduction.
Perceptual systems can be biological or artificial. By definition, a perceptual system must receive input from sensory organs.
Examples of perceptual systems include
- The human visual system
- The human auditory system
- A bat's sonar/echolocation system
- A man-made light intensity meter
- A man-made motion detector
Research in the field of perceptual systems focuses on computational aspects of perception. For this reason, there is significant overlap with neuroscience, sensor design, natural scene statistics[2][3], and computer science.
Academic Centers
Center for Perceptual Systems, University of Texas at Austin. www.cps.utexas.edu
References
- ^ Ing AD (2010) The leaf identification problem: Natural scene statistics and human performance. PhD Dissertation: The University of Texas at Austin, USA.
- ^ Geisler WS (2008) Visual perception and the statistical properties of natural scenes. Annual Review of Psychology. 59:167-192.
- ^ Lewicki MS (2002) Efficient coding of natural sounds. Nature Neuroscience 5(4):356-363.