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- W180707536 abstract "Illumination color determines the color appearance of an object. When illumination color changes, the color appearance of the object will change accordingly, causing its appearance to be inconsistent. Many methods have been proposed to solve this problem. However, a few researchers found that despite causing the inconsistency problem, the change of illumination color can produce a crucial constraint that can solve the problem itself. Finlayson et al. [10] proposed a method using this constraint. They showed that, by utilizing two different illuminations, it becomes effective to estimate a consistent surface color. Unfortunately, their method is a pixel-based operation that does not consider the presence of noise, thereby making it less robust for real-world images, particularly for those with insufficient difference of illumination colors. Therefore, in this paper, we propose a more accurate and robust method that is extended from their work. We found that by examining the presence of noise and then eliminating it, we can obtain more accurate and robust results. Our implementation on those two factors using natural images shows the increase in accuracy and robustness" @default.
- W180707536 created "2016-06-24" @default.
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- W180707536 date "2004-01-01" @default.
- W180707536 modified "2023-10-01" @default.
- W180707536 title "A ROBUST FRAMEWORK TO ESTIMATE SURFACE COLOR FROM CHANGING ILLUMINATION" @default.
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