2008
DOI: 10.1007/s11431-008-5018-1
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Integral ear elimination and virtual point-based updating algorithms for constrained Delaunay TIN

Abstract: ally paid more attention to the insertion algorithms for points and edges, but little to the deletion algorithms. The presented algorithms are far insufficient for the dynamic updating of CD-TIN. In this paper, the constraint edge in CD-TIN is considered to be any set of broken lines, i.e., polygon edges, broken lines and simple segments. The constraint edge may be composed of one or more constraint segments, and it is allowed to be in any form: Open or close, intersection or self-intersection. By improving to… Show more

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Cited by 6 publications
(5 citation statements)
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“…The point is on the edge of the data range, and the circumcenters of the triangles around the point are not enough to compose a close Thiessen polygon. In this case, Thiessen polygon is completed by advisable adding-point method [1,2].…”
Section: A Basic Principle Of Thiessen Polygon Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The point is on the edge of the data range, and the circumcenters of the triangles around the point are not enough to compose a close Thiessen polygon. In this case, Thiessen polygon is completed by advisable adding-point method [1,2].…”
Section: A Basic Principle Of Thiessen Polygon Methodsmentioning
confidence: 99%
“…There are many relative calculation methods such as arithmetic average method, isograms, Thiessen polygon method and fine-mesh method [1].…”
Section: Introductionmentioning
confidence: 99%
“…The FCFs can be modeled in detail by the CD-TIN and the buildings and other man-made structures can be seamlessly coupled in the CD-TIN terrain [52]; also, the full topology relationship of CD-TIN facilitates further analysis of inundation. As Figure 13 shows, for better understanding the representation of CD-TIN, we add the aerial imagery of the BNU main campus.…”
Section: Urban Surface Modelingmentioning
confidence: 99%
“…Then calibration is made manually to extract the actual driveway in the surveillance video to reduce computation by discarding the non-detection region. Secondly, the input frame is divided into many triangles by a FCDT algorithm [6,9] . And then an improved algorithm for adaptive background estimation is proposed.…”
Section: Architecture Overviewmentioning
confidence: 99%