Steps Towards a Theory of Visual Information: Active Perception, Signal-to-Symbol Conversion and the Interplay Between Sensing and Control

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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151 pages; preliminary version TR UCLA-CSD100028 of September 13, 20010

Scientific paper

This manuscript describes the elements of a theory of information tailored to control and decision tasks - as opposed to transmission and storage tasks - and to visual data, including optical or other spectra. The concept of Actionable Information is described, that relates to a notion of information championed by J. Gibson, and a notion of "complete information" that relates to the minimal sufficient statistics of a complete representation. It is shown that the "actionable information gap" between the two can only be reduced by exercising control on the sensing process. Thus, senging, control and information are inextricably tied. This has consequences in understanding the so-called "signal-to-symbol barrier" problem, as well as in the analysis and design of active sensing systems. It has ramifications in vision-based control, navigation, 3-D reconstruction and rendering, as well as detection, localization, recognition and categorization of objects and scenes in live video. This manuscript has been developed as a set of lecture notes for a summer course at the First International Computer Vision Summer School (ICVSS) in Scicli, Italy, in July of 2008. They were later expanded and amended for subsequent lectures in the same School in July 2009. Starting on November 1, 2009, they were further expanded for a special topics course, CS269, taught at UCLA in the Spring term of 2010. The present manuscript is an evolution of these lecture notes.

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