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A New View Sphere Tessellation Method for the Efficient 3-D Object Recognition

Sam Chung Hwang

出版	Korea Advenced [sic] Institute of Science and Technology, Center for Artificial Intelligence Research, 1993
URL	http://books.google.com.hk/books?id=a0sHtwAACAAJ&hl=&source=gbs_api

註釋

Abstract: "When recognizing a 3-D object with the multiview representation scheme, one need [sic] to tessellate the view sphere into arbitrarily shaped views and quickly match the model. This paper proposes a new view sphere tessellation method based on the modified halfedge data structure and quadtree. We recursively tessellate the view sphere and present the algorithms that tessellate the view sphere into arbitrarily shaped views, efficiently access a viewpoint and find the neighbor viewpoints for the 3-D multiview representation."