JSM 2004 - Toronto

Abstract #301779

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Activity Number: 11
Type: Topic Contributed
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #301779
Title: Information Scaling Laws in Vision
Author(s): Ying Nian Wu*+ and Cheng-en Guo and Song-Chun Zhu
Companies: University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
Address: Dept of Statistics, Los Angeles, CA, 90095-1554,
Keywords:
Abstract:

When we walk in the woods, the leafs and twigs nearby can be perceived individually, whereas the leafs and twigs far away only give us a collective foliage impression. This perceptual transition from individual structures to collective textures is ubiquitous in natural scenes, but it has not been theoretically studied. We explain this phenomenon by two scaling laws: If we move farther away from a pattern, (1) the resulting image looks more random, and (2) the pattern appears less perceptible. We also identify several important concepts, and connect two generic image representations in literature.

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