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We propose a method of virtually flattening a largely deforme d surface using three-dimensional images taken from different directions. In a previous paper (Kita and Kit a, 2016), we proposed a method of virtually fattening a surface from a 3D depth image according to the calcul ation of geodesic lines, which are the shortest paths between two points on an arbitrary curved surface. Alt hough the work showed the promise of the proposed approach, only gently curved surfaces can be flattened owing to the limit of the observation being made from one direction. To apply the method to a wider range of sur faces, including sharply curved surfaces, we extended the method to three-dimensional depth images take n from different directions integratively. This was done by combining equations obtained from each observation thr ugh the surface points observed commonly in different observations and by solving all the equations s imultaneously. Experiments using actual clothing items demonstrated the effect of the integration.

Virtual Flattening of a Clothing Surface by Integrating Geodesic Distances from Different Three-dimensional Views