In this paper we present a 3D and texture modelling for Precolombian objects. Our experimental setup consists of a no contact 3D digitizer for range image acquisition and a camera CCD of high resolution to acquire the intensity images of the target object. The mapping texture process is described as a parameterization function with a range image; we estimate the camera orientation from calibration techniques, utilizing pattern calibration before data acquisition. We describe a texturized mapping strategy based on multi-view to adequately address photography related problems such as inhomogeneous lighting, highlights and occlusion. For each triangle in the model, the optimal image is selected from source images with an average weighted the scalar product between the image normal vector and triangle normal vector. Finally, we show the highly detailed texture models of Precolombian objects.
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