Abstract
The work investigates the problem of how information contained in different overlapping images of a scene can be combined to produce larger images of higher quality. The resulted images can be used for different applications like forensic image analysis, computer animation, special effects, 3D model texture mapping or panorama mosaic. In our case, high-resolution image mosaics of mural frescos are required for the texturing of a 3D model that will be used in a movie production. We developed a novel method for the derivation of a high quality mosaic using multi-resolution and multi-temporal images acquired from arbitrary positions and cameras. This method named 'constrained mesh-wise affine transformation' allows for seamless enhancement of the scene in the areas where higher resolution images are available. In this paper, we also discuss alternative procedures for the texture mapping of a 3D model using existing multi-resolution and multi-temporal imagery. The work has been done within a project aimed at a virtual and physical reconstruction of the destroyed Buddha statues of Bamiyan, Afghanistan.
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