Object Color Prediction from an RGB Image Based on Metamer Estimation (Part II: Evaluation)

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  • メタマ推定に基づくRGB画像からの被写体の測色値予測（第二報：評価）
  • メタマ推定に基づくRGB画像からの被写体の測色値予測(第2報)評価
  • メタマ スイテイ ニ モトズク RGB ガゾウ カラ ノ ヒシャタイ ノ ソクショクチ ヨソク ダイ2ホウ ヒョウカ

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Part I of this article proposed a novel method that predicts colorimetric values of an object under an arbitrary illuminant from an RGB image photographed by a digital still camera. In this paper, the performance of the proposed method is evaluated. Computer simulations were carried out to evaluate the color prediction accuracy for various combinations of illuminants, camera sensitivities, object categories, and population data used for constructing color prediction models. The results show that the proposed method outperforms conventional methods in terms of both accuracy and robustness against selection of population data. An experiment using a digital camera image also showed that the proposed method is of practical use for actual images.

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