Header

UZH-Logo

Maintenance Infos

High quality interactive rendering of massive point models using multi-way kd-trees


Goswami, P; Zhang, Y; Pajarola, R; Gobbetti, E (2010). High quality interactive rendering of massive point models using multi-way kd-trees. In: Pacific Graphics, Hangzhou, China, 25 September 2010 - 27 September 2010.

Abstract

We present a simple and efficient technique for out-of-core multiresolution construction and high quality visualization of large point datasets. The method introduces a novel hierarchical LOD data organization based on multi-way kd-trees that simplifies memory management and allows controlling the LOD tree’s height. The technique is incorporated in a full end- to-end system, which is evaluated on complex models made of hundreds of millions of points.

Abstract

We present a simple and efficient technique for out-of-core multiresolution construction and high quality visualization of large point datasets. The method introduces a novel hierarchical LOD data organization based on multi-way kd-trees that simplifies memory management and allows controlling the LOD tree’s height. The technique is incorporated in a full end- to-end system, which is evaluated on complex models made of hundreds of millions of points.

Statistics

Citations

Downloads

47 downloads since deposited on 28 Feb 2011
4 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Uncontrolled Keywords:graphics, point-based, multiresolution modeling, out-of-core
Language:English
Event End Date:27 September 2010
Deposited On:28 Feb 2011 08:03
Last Modified:12 Aug 2017 11:08

Download

Preview Icon on Download
Preview
Filetype: PDF (High Quality Interactive Rendering of Massive Point Models using Multi-way kd-Trees)
Size: 3MB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations