Presentation 2004/12/9
A Visual Model Based on the Computational Principle of Active Contours
Shunji SATOH,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A visual model for object detection is proposed. The dynamics of the proposed model is based on the computational principle of active contours, which is a fundamental method for various image processing. A redefined level set function is utilized in order to model object-detecting neurons. An initial value problem of active contours is solved by introducing a visual property revealed by cognitive psychological experiments. Numerical experiments show that the technical effectiveness of the proposed model. The proposed model detects objects with complex topologies, which has not been dealt with by existing methods. Psychophysical experiments were performed in order to investigate the relation between figure-ground perception and visual attention. It is shown by other numerical experiments that the proposed model equipped with visual attention accounts the psychological experimental results.
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Keyword(in English) object detection / figure-ground perception / V4 area / visual attention / active contours
Paper # HIP2004-63
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Conference Information
Committee HIP
Conference Date 2004/12/9(1days)
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Paper Information
Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Visual Model Based on the Computational Principle of Active Contours
Sub Title (in English)
Keyword(1) object detection
Keyword(2) figure-ground perception
Keyword(3) V4 area
Keyword(4) visual attention
Keyword(5) active contours
1st Author's Name Shunji SATOH
1st Author's Affiliation Department of Information Science for Human Welfare, Faculty of Comprehensive Welfare, Tohoku Fukushi University()
Date 2004/12/9
Paper # HIP2004-63
Volume (vol) vol.104
Number (no) 525
Page pp.pp.-
#Pages 6
Date of Issue