Multiresolution reconstruction of pipe-shaped objects from contours

Kyungha Min, In Kwon Lee

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

We reconstruct pipe-shaped objects from a set of contours, each of which is extracted from an image representing a slice sampled from 3D volume data. The contours are formed by connecting the intersection points between rays cast from a central pixel of an image slice and the boundary of the shape. The edges on the contours are classified into several types, which are exploited in triangulating the contours, thus eliminating most of the floating-point computation from the tiling. Initially, contours of lowest resolution are extracted to reconstruct a lowest-resolution object, which is refined by adding points to the contours.

Original languageEnglish
Pages (from-to)916-924
Number of pages9
JournalLecture Notes in Computer Science
Volume3514
Issue numberI
Publication statusPublished - 2005 Sep 30
Event5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States
Duration: 2005 May 222005 May 25

Fingerprint

Multiresolution
Pixels
Pipe
Slice
Lowest
Floating point
Tiling
Object
Half line
Pixel
Intersection

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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abstract = "We reconstruct pipe-shaped objects from a set of contours, each of which is extracted from an image representing a slice sampled from 3D volume data. The contours are formed by connecting the intersection points between rays cast from a central pixel of an image slice and the boundary of the shape. The edges on the contours are classified into several types, which are exploited in triangulating the contours, thus eliminating most of the floating-point computation from the tiling. Initially, contours of lowest resolution are extracted to reconstruct a lowest-resolution object, which is refined by adding points to the contours.",
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Multiresolution reconstruction of pipe-shaped objects from contours. / Min, Kyungha; Lee, In Kwon.

In: Lecture Notes in Computer Science, Vol. 3514, No. I, 30.09.2005, p. 916-924.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Multiresolution reconstruction of pipe-shaped objects from contours

AU - Min, Kyungha

AU - Lee, In Kwon

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Y1 - 2005/9/30

N2 - We reconstruct pipe-shaped objects from a set of contours, each of which is extracted from an image representing a slice sampled from 3D volume data. The contours are formed by connecting the intersection points between rays cast from a central pixel of an image slice and the boundary of the shape. The edges on the contours are classified into several types, which are exploited in triangulating the contours, thus eliminating most of the floating-point computation from the tiling. Initially, contours of lowest resolution are extracted to reconstruct a lowest-resolution object, which is refined by adding points to the contours.

AB - We reconstruct pipe-shaped objects from a set of contours, each of which is extracted from an image representing a slice sampled from 3D volume data. The contours are formed by connecting the intersection points between rays cast from a central pixel of an image slice and the boundary of the shape. The edges on the contours are classified into several types, which are exploited in triangulating the contours, thus eliminating most of the floating-point computation from the tiling. Initially, contours of lowest resolution are extracted to reconstruct a lowest-resolution object, which is refined by adding points to the contours.

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JF - Lecture Notes in Computer Science

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