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 language | English |
|---|---|
| Pages (from-to) | 916-924 |
| Number of pages | 9 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3514 |
| Issue number | I |
| Publication status | Published - 2005 Sep 30 |
| Event | 5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States Duration: 2005 May 22 → 2005 May 25 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
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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 journal › Conference article
TY - JOUR
T1 - Multiresolution reconstruction of pipe-shaped objects from contours
AU - Min, Kyungha
AU - Lee, In Kwon
PY - 2005/9/30
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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M3 - Conference article
VL - 3514
SP - 916
EP - 924
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
IS - I
ER -