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http://dx.doi.org/10.3745/KIPSTB.2010.17B.1.055

A Novel Feature Map Generation and Integration Method for Attention Based Visual Information Processing System using Disparity of a Stereo Pair of Images  

Park, Min-Chul (한국과학기술연구원 포토닉스센서시스템센터)
Cheoi, Kyung-Joo (충북대학교 전자정보대학 컴퓨터공학부)
Publication Information
The KIPS Transactions:PartB / v.17B, no.1, 2010 , pp. 55-62 More about this Journal
Abstract
Human visual attention system has a remarkable ability to interpret complex scenes with the ease and simplicity by selecting or focusing on a small region of visual field without scanning the whole images. In this paper, a novel feature map generation and integration method for attention based visual information processing system is proposed. The depth information obtained from a stereo pair of images is exploited as one of spatial visual features to form a set of topographic feature maps in our approach. Comparative experiments show that correct detection rate of visual attention regions improves by utilizing depth feature compared to the case of not using depth feature.
Keywords
ROI(Region Of Interest); FOA(Focus Of Attention); Depth Information; Stereo Pair of Images;
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