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Titlebook: Discrete Geometry for Computer Imagery; 15th IAPR Internatio Sre?ko Brlek,Christophe Reutenauer,Xavier Proven?a Conference proceedings 2009

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41#
發(fā)表于 2025-3-28 15:08:33 | 只看該作者
42#
發(fā)表于 2025-3-28 21:31:41 | 只看該作者
Superficial Esophageal Neoplasmthese are called double squares). In this paper, we study two families of tiles : one is directly linked to Christoffel words while the other stems from the Fibonacci sequence. We show that these polyominoes are double squares, revealing strong connections between discrete geometry and other areas b
43#
發(fā)表于 2025-3-29 01:59:45 | 只看該作者
Jeffrey P. Miller,Charlene Van Buitentified by a pair of distinct coordinates. The coordinates are used to address corresponding points. This paper proposes a solution to a discretization problem identified in a previous approach. The polar like coordinate system is computed in a space where the problem cannot occur, followed by mappin
44#
發(fā)表于 2025-3-29 04:30:04 | 只看該作者
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發(fā)表于 2025-3-29 07:30:10 | 只看該作者
46#
發(fā)表于 2025-3-29 11:35:51 | 只看該作者
Shelby Cox,Kalyn Garcia,Charlotte Carlsone then prove that the global fitting cost can be easily derived from the fitting cost of the samples. Since fitting costs are computed from small samples, the technique can be incorporated in many ellipse detection and recognition algorithms, and in particular, in algorithms that make use of increme
47#
發(fā)表于 2025-3-29 18:40:40 | 只看該作者
48#
發(fā)表于 2025-3-29 23:32:22 | 只看該作者
Connections on Super Riemann Surfacesbasic algorithm which produces a complete mesh without any cracks. Our method is useful in the surface reconstruction process of scanned objects. It works over the scalar field distance transform of the object to produce the resulting triangle mesh. First we improve the original algorithm in finding
49#
發(fā)表于 2025-3-30 01:07:53 | 只看該作者
50#
發(fā)表于 2025-3-30 04:57:11 | 只看該作者
Matter Couplings in Global Supersymmetry On the other hand, there are very fast pixel watershed algorithms, but they produce errors not only in certain exotic cases, but also in real-world images and even in the most simple scenarios. In this work, we examine closely the source of these errors and propose a new algorithm that is fast, app
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