Abstract
Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.
| Original language | English |
|---|---|
| Pages (from-to) | 1129-1138 |
| Number of pages | 10 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3482 |
| Issue number | III |
| Publication status | Published - 2005 |
| Event | International Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore Duration: 2005 May 9 → 2005 May 12 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science