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- W2162668546 abstract "Color-based vision applications face the challenge that colors are variant to illumination. In this paper we present a color classification algorithm that is adaptive to continuous variable lighting. Motivated by the dichromatic color reflectance model, we use a Gaussian mixture model (GMM) of two components to model the distribution of a color class in the YUV color space. The GMM is derived from the classified color pixels using the standard expectation-maximization (EM) algorithm, and the color model is iteratively updated over time. The novel contribution of this work is the theoretical analysis supported by experiments - that a GMM of two components is an accurate and complete representation of the color distribution of a dichromatic surface" @default.
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- W2162668546 date "2006-07-10" @default.
- W2162668546 modified "2023-09-24" @default.
- W2162668546 title "Color classification using adaptive dichromatic model" @default.
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- W2162668546 doi "https://doi.org/10.1109/robot.2006.1642223" @default.
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