Viewspace partitioning of densely occluded scenes

Yiorgos Chrysanthou; Daniel Cohen-Or; Eyal Zadicario

doi:10.1145/276884.276934

Viewspace partitioning of densely occluded scenes

Yiorgos Chrysanthou^*, Daniel Cohen-Or, Eyal Zadicario

^*Corresponding author for this work

University College London

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Computing the visibility of out-door scenes is often much harder than of in-door scenes. The difficulty is that although the majority of objects are hidden, some parts might be visible at a distance in an arbitrary location, and it is not clear how to detect them quickly. The results of our method to partition the viewspace into cells are presented, where each cell contains a conservative superset of visible objects. For each object it searches for a strong occluder which guarantees that the object is not visible from any point within the cell.

Original language	English
Pages	413-414
Number of pages	2
DOIs	https://doi.org/10.1145/276884.276934
State	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 14th Annual Symposium on Computational Geometry - Minneapolis, MN, USA Duration: 7 Jun 1998 → 10 Jun 1998

Conference

Conference	Proceedings of the 1998 14th Annual Symposium on Computational Geometry
City	Minneapolis, MN, USA
Period	7/06/98 → 10/06/98

Access to Document

10.1145/276884.276934

Cite this

@conference{337073155bec4234814f6ba06a8b2679,

title = "Viewspace partitioning of densely occluded scenes",

abstract = "Computing the visibility of out-door scenes is often much harder than of in-door scenes. The difficulty is that although the majority of objects are hidden, some parts might be visible at a distance in an arbitrary location, and it is not clear how to detect them quickly. The results of our method to partition the viewspace into cells are presented, where each cell contains a conservative superset of visible objects. For each object it searches for a strong occluder which guarantees that the object is not visible from any point within the cell.",

author = "Yiorgos Chrysanthou and Daniel Cohen-Or and Eyal Zadicario",

year = "1998",

doi = "10.1145/276884.276934",

language = "אנגלית",

pages = "413--414",

note = "Proceedings of the 1998 14th Annual Symposium on Computational Geometry ; Conference date: 07-06-1998 Through 10-06-1998",

}

TY - CONF

T1 - Viewspace partitioning of densely occluded scenes

AU - Chrysanthou, Yiorgos

AU - Cohen-Or, Daniel

AU - Zadicario, Eyal

PY - 1998

Y1 - 1998

N2 - Computing the visibility of out-door scenes is often much harder than of in-door scenes. The difficulty is that although the majority of objects are hidden, some parts might be visible at a distance in an arbitrary location, and it is not clear how to detect them quickly. The results of our method to partition the viewspace into cells are presented, where each cell contains a conservative superset of visible objects. For each object it searches for a strong occluder which guarantees that the object is not visible from any point within the cell.

AB - Computing the visibility of out-door scenes is often much harder than of in-door scenes. The difficulty is that although the majority of objects are hidden, some parts might be visible at a distance in an arbitrary location, and it is not clear how to detect them quickly. The results of our method to partition the viewspace into cells are presented, where each cell contains a conservative superset of visible objects. For each object it searches for a strong occluder which guarantees that the object is not visible from any point within the cell.

UR - http://www.scopus.com/inward/record.url?scp=0031643496&partnerID=8YFLogxK

U2 - 10.1145/276884.276934

DO - 10.1145/276884.276934

M3 - ???researchoutput.researchoutputtypes.contributiontoconference.paper???

AN - SCOPUS:0031643496

SP - 413

EP - 414

T2 - Proceedings of the 1998 14th Annual Symposium on Computational Geometry

Y2 - 7 June 1998 through 10 June 1998

ER -

Viewspace partitioning of densely occluded scenes

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this