Automated Texture Registration On 3d Models

3D models are often lacking a photorealistic appearance, due to low quality of the acquired texture, or to the complete absence of it. Moreover, especially in case of reality based models, it is often of specific interest to texture with images different from photos, like multispectral/multimodal views (InfraRed, X-rays, UV fluorescence etc), or images taken in different moments in time. In this work, a fully automatic approach for texture mapping is proposed. The method relies on the automatic extraction from the model geometry of appropriate depth maps, in form of images, whose pixels maintain an exact correspondence with vertices of the 3D model. A multiresolution greedy method is then proposed to generate the candidate depth maps which could be related with the given texture. In order to select the best match, a suited similarity measure is computed, based on Maximixation of Mutual Information (MMI). 3D texturing is then applied to the portion of the model which is visualized in the texture.