The presented 3D object digitizing system successfully registers and integrates object views acquired by a range scanner. It combines interactive and automatic modules in order to provide maximal flexibility. Human perception is used for the rough registration of single views. The automatic matching registers the approximately aligned surfaces at high precision. The individual surfaces are easily triangulated using the range image grid. The integration of the different triangle meshes tries to keep a maximum of the triangulated surface mesh and joins them together with a gap filling algorithm.
H. Hugli, Ch. Schutz, D. Semitekos, "Geometric matching for free-form 3D object recognition," ACCV, Singapore, Vol 3, pp.819-823, 1995.
Christian Schutz, Emerico Natonek, Charles Baur, Heinz Hugli, "3D Vision in a Virtual Reality Robotics Environment", SPIE Photonics East, Telemanipulator and Telepresence Technologies III, Boston, Proc. SPIE, Vol. 3012, pp. 138-146, Nov. 1996.
Christian Schütz, Heinz Hügli, "Augmented reality using range images", SPIE Photonics West, The Engineering Reality of Virtual Reality, San Jose, Proc. SPIE, Vol. 3012- IV, pp. 472-478, Feb. 1997
C. Schütz, T. Jost and H. Hügli, "Semi-Automatic 3D Object Digitizing System Using Range Images", Proc. ACCV'98, Hong-Kong, pp. 490-497, Jan 1998
Christian Schütz, Timothée Jost, Heinz Hügli, "Free-form 3D object reconstruction from range images", Proc. Int. Conf. Virtual Systems and MultiMedia, VSMM'97, Geneva, IEEE Computer Society, pp. 69-70, Aug. 1997
H. Hügli, "Numériser sans contraintes de positionnement: par assemblage de vues 3D arbitraires; Getting rid of positioning constraints: Modeling from arbitrary 3D scans", Congrès industriel sur la digitalisaton & la création industrielle, Paris (F) , 19-20 mai 1999
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