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Open Access Appearance Reconstruction of Mutual Illumination Effect between Plane and Curved Fluorescent Objects

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This paper considers appearance reconstruction of 3D fluorescent objects with mutual illumination effect. We examined the mutual illumination between flat plane and curved objects, by placing a cylinder on a flat plane. First, the spectral images of the fluorescent objects with the mutual illumination effect are acquired under different illumination directions. The respective observed images are then decomposed into several components on the basis of spectral compositions and the spatial distributions of geometric factors. The surface normal vectors are estimated by utilizing the photometric stereo method. Second, the reference geometric factors are defined as geometric factors independent of illumination direction change. The reference geometric factors for mutual illumination on the plane are determined based on viewing from the normal direction of the cylinder. We reconstruct a new appearance of the two fluorescent objects under the fixed viewpoint but the different conditions of fluorescent material, illuminant spectrum, and illumination direction. We show that the total appearance of the reconstructed image predicts well the real scene.
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Keywords: Appearance reconstruction; Fluorescent objects; Mutual illumination effect; Plane and curved fluorescent objects

Document Type: Research Article

Publication date: January 13, 2019

This article was made available online on January 13, 2019 as a Fast Track article with title: "Appearance reconstruction of mutual illumination effect between plane and curved fluorescent objects".

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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