Abstract
A method is given for detecting primitive parts of rigid objects whose surfaces are approximated well by quadric patches. From fused range and intensity images, primitives are detected by simultaneously fitting a 2-D object contour and a set of adjacent 3-D surface points. Simulation results show that combined fitting is superior to fitting either range or intensity alone. Experiments with 10 real fused images indicate that a recognition system could be built upon the outlined primitive detection subsystem.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | Kevin W. Bowyer |
| Publisher | Publ by Int Soc for Optical Engineering |
| Pages | 120-136 |
| Number of pages | 17 |
| Volume | 1708 |
| ISBN (Print) | 0819408735 |
| Publication status | Published - 1992 |
| Externally published | Yes |
| Event | Applications of Artificial Intelligence X: Machine Vision and Robotics - Orlando, FL, USA Duration: 1992 Apr 22 → 1992 Apr 24 |
Other
| Other | Applications of Artificial Intelligence X: Machine Vision and Robotics |
|---|---|
| City | Orlando, FL, USA |
| Period | 92/4/22 → 92/4/24 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics