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Titlebook: Discrete Geometry for Computer Imagery; 7th International Wo Ehoud Ahronovitz,Christophe Fiorio Conference proceedings 1997 Springer-Verlag

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樓主: papyrus
31#
發(fā)表于 2025-3-26 23:22:25 | 只看該作者
https://doi.org/10.1007/978-1-4615-2439-7lume images contain at high resolution can be considerably compressed at lower resolution, and while the obtained representation still can be suited for simple shape analysis tasks, provided that shape is adequately preserved when resolution decreases. In this paper, we present new methods for build
32#
發(fā)表于 2025-3-27 01:43:51 | 只看該作者
33#
發(fā)表于 2025-3-27 07:11:33 | 只看該作者
Vector Processing Techniques on CYBER 205ctural description of surfaces where we have some desirable properties: for example, any point is surrounded by a set of faces which constitute a “cycle”. The notion of combinatorial surface extracts these “structural” properties of surfaces..In this paper, we introduce a relation for points in .. w
34#
發(fā)表于 2025-3-27 12:43:10 | 只看該作者
35#
發(fā)表于 2025-3-27 16:03:05 | 只看該作者
36#
發(fā)表于 2025-3-27 21:43:55 | 只看該作者
An Overview of Computing at Los Alamosnify the proof technique of the results on 4-connectedness and on 8-connectedness in ?.. We also show that there is no topology compatible with 6-connectedness. We shortly comment on potential further use of this approach.
37#
發(fā)表于 2025-3-28 01:05:14 | 只看該作者
38#
發(fā)表于 2025-3-28 03:12:24 | 只看該作者
Evgeny Kuznetsov,Vladimir Stegailovossess the Jordan property. These surfaces, although discrete by nature, represent most of the time real world continuous surfaces for which local geometrical characteristics are useful for registration, segmentation, recognition and measure. We propose a technique designed to estimate the mean curv
39#
發(fā)表于 2025-3-28 08:29:25 | 只看該作者
40#
發(fā)表于 2025-3-28 10:32:08 | 只看該作者
Swarn P. Kumar,Janusz S. Kowalik is presented. The continuous distance considered is the widely used Euclidean distance whereas we consider as discrete distance the chamfer distance based on 3 x 3 masks. The objective is to obtain formal results from which algorithms for the exact solution of the Euclidean Distance Transformation
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