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Improved Spectral-reflectance(SR) Estimation Using Set of Principle Components Separately Organized for Each SR Population with Similar SRs  

권오설 (경북대학교 전자전기컴퓨터학부)
이철희 (경운대학교 컴퓨터공학과)
이호근 (경북대학교 전자전기컴퓨터학부)
하영호 (경북대학교 전자전기컴퓨터학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.40, no.2, 2003 , pp. 11-19 More about this Journal
Abstract
This paper proposes an algorithm to reduce the estimation error of surface spectral-reflectance(SR) using a conventional 3-band RGB camera. In the proposed method, estimation error can be reduced by using adaptive principal components(PCs) for each color region. In order to build adaptive set of PCs, n SR populations are organized for n PC sets by using Lloyd quantizer design algorithm. Macbetch ColorCheckcer is utilized as initial representative SR values for 1485 Munsell color chips of total color population and the Munsell chips arc divided subsets and a set of corresponding adaptive PCs per each subset is organized. As a result of experiments, the proposed method showed advanced estimation performance compared to both the two 3-band PCA methods and the 5-band wiener method.
Keywords
분광 반사율 추정;광원 추정;색 항상성;색 재현;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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