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Image-based extraction of material reflectance properties of a 3D object

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2003
Erdem, Mehmet Erkut
In this study, an appearance reconstruction method based on extraction of material re?ectance properties of a three-dimensional (3D) object from its twodimensional (2D) images is explained. One of the main advantages of this system is that the reconstructed object can be rendered in real-time with photorealistic quality in varying illumination conditions. Bidirectional Reflectance Distribution Functions (BRDFs) are used in representing the reflectance of the object. The reflectance of the object is decomposed into diffuse and specular components and each component is estimated seperately. While estimating the diffuse components, illumination-invariant images of the object are computed from the input images, and a global texture of the object is extracted from these images by using surface particles. The specular reflectance data are collected from the residual images obtained by taking difference between the input images and corresponding illumination-invariant images, and a Lafortune BRDF model is fitted to these data. At the rendering phase, the diffuse and specular components are blended into each other to achieve a photorealistic appearance of the reconstructed object.