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- W47763709 abstract "The idea of using real images to generate photorealistic computer graphics (scenes) has led to the development of Image-based modeling and rendering. These techniques are very similar to those developed some years ago within the framework of analysis/synthesis collaboration. In this paper, we present a new approach to reconstruct the 3D geometry and photometry of a scene based upon two distinct processes. A vision process uses two digital images of a scene captured with a camera to reconstruct its full geometry. A computer graphics process uses a single image to recover the photometry of the the surfaces (i.e. the surface re ectances) and the radiance-to-pixel function by minimizing an error function. The generated images are then used as a feedback to modify the surface re ectances. Our aim is to nd the simplest re ectance model allowing to faithfully reconstruct the original image of a scene, keeping in mind that the related photometric analysis is highly dependent on the complexity of the searched model. Our approach generates photorealistic images using a rapid global illumination algorithm including the computation of a specular component. This algorithm is driven by the mean square error between the real image and the synthetic one, and minimizes it with respect to the parameters of the photometric model and of the radiance-to-pixel conversion functions. Several applications of this method are presented, such as augmented reality." @default.
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- W47763709 date "2001-01-01" @default.
- W47763709 modified "2023-09-25" @default.
- W47763709 title "Advanced computer vision and graphics collaboration techniques for image-based rendering" @default.
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