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 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
Detecting wings in quadric surface scenes. / Lee, Greg C.; Stockman, George C.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Kevin W. Bowyer. Vol. 1708 Publ by Int Soc for Optical Engineering, 1992. p. 120-136.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detecting wings in quadric surface scenes
AU - Lee, Greg C.
AU - Stockman, George C.
PY - 1992
Y1 - 1992
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0026698517&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026698517&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026698517
SN - 0819408735
VL - 1708
SP - 120
EP - 136
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Bowyer, Kevin W.
PB - Publ by Int Soc for Optical Engineering
ER -