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.
|Number of pages||9|
|Journal||Lecture Notes in Computer Science|
|Publication status||Published - 2005|
|Event||5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States|
Duration: 2005 May 22 → 2005 May 25
Bibliographical noteFunding Information:
★ This work was supported (in part) by the Ministry of Information & Communica-tions, Korea, under ther Information Technology Research Center (ITRC) Support Program at Ewha Womans Univ. and Yonsei Univ.
This work was supported (in part) by the Ministry of Information & Communications, Korea, under ther Information Technology Research Center (ITRC) Support Program at Ewha Womans Univ. and Yonsei Univ.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)