FAKIR : An algorithm for estimating the pose and elementary anatomy of archaeological statues
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The digitization of archaeological artefacts has become an essential part of cultural heritage research be it for purposes of preservation or restoration. Statues, in particular, have been at the center of many projects. In this paper, we introduce a way to improve the understanding of acquired statues by registering a simple and pliable anatomical model to the raw point set data. Our method performs a Forward And bacKward Iterative Registration (FAKIR) which proceeds joint by joint, needing only a few iterations to converge. Furthermore, we introduce a simple detail-preserving skinning approach working directly on the point cloud, without needing a mesh. By combining FAKIR with our skinning method we are able to detect the pose and the elementary anatomy of a sculpture and modify it, paving the way for pose-independent style comparison and statue restoration by combination of parts belonging to statues with different poses.
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