Precise Surface Color Estimation Using a Non-Diagonal Reflectance Matrix on an Adaptive Projector-Camera System

A projector camera system for controlling the appearance of real objects is useful for public viewing. However, projector camera systems need to estimate scenes under the white light from a camera image taken under the color light of the projector and adaptively generate a new projector image. In su...

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Vydáno v:2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) s. 190 - 195
Hlavní autoři: Nishizawa, Masahiro, Okajima, Katsunori
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2018
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Shrnutí:A projector camera system for controlling the appearance of real objects is useful for public viewing. However, projector camera systems need to estimate scenes under the white light from a camera image taken under the color light of the projector and adaptively generate a new projector image. In such a feedback system, the quality of the estimation of the scene color under the white light affects the quality of the projection image directly. In this study, we propose a precise online estimation of the scene color assuming that the reflectance matrix non-diagonal and can be determined with three parameters. This enables the projector-camera system to be applied to design tools or food AR, which require a high-quality grade for material perception simulations.
DOI:10.1109/ISMAR-Adjunct.2018.00064