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TEASAR: Tree-structure extraction algorithm for accurate and robust skeletons

  • Stony Brook University
  • Institute of Science Tokyo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

113 Scopus citations

Abstract

We introduce the TEASAR algorithm which is a treestructure extraction algorithm delivering skeletons that are accurate and robust. Volumetric skeletons are needed for accurate measurements of length along branching and winding structures. Skeletons are also required in automatic virtual navigation, such as traveling through human organs (e.g., the colon) to control movement and orientation of the virtual camera. We introduce a concise but general definition of a skeleton, and provide an algorithm that finds the skeleton accurately and rapidly. Our solution is fully automatic, which frees the user from having to engage in data preprocessing. We present the accurate skeletons computed on a number of test datasets. The algorithm is efficient as demonstrated by the running times on a single 194 MHz MIPS R10000 CPU which were all below five minutes.

Original languageEnglish
Title of host publicationProceedings - 8th Pacific Conference on Computer Graphics and Applications, PG 2000
EditorsBrian A. Barsky, Yoshihisa Shinagawa, Wenping Wang
PublisherIEEE Computer Society
Pages281-287 and 449
ISBN (Electronic)0769508685
DOIs
StatePublished - 2000
Event8th Pacific Conference on Computer Graphics and Applications, PG 2000 - Hong Kong, China
Duration: Oct 3 2000Oct 5 2000

Publication series

NameProceedings - Pacific Conference on Computer Graphics and Applications
Volume2000-January
ISSN (Print)1550-4085

Conference

Conference8th Pacific Conference on Computer Graphics and Applications, PG 2000
Country/TerritoryChina
CityHong Kong
Period10/3/0010/5/00

Keywords

  • Automatic control
  • Cameras
  • Colon
  • Data preprocessing
  • Humans
  • Length measurement
  • Navigation
  • Robustness
  • Skeleton
  • Volume measurement

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