Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Pages | 191-193 |
| Number of pages | 3 |
| Publication status | Published - 1990 |
| Event | 10th International Conference on Pattern Recognition - Atlantic City, United States Duration: 16 Jun 1990 → 21 Jun 1990 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
|---|---|
| Volume | 1 |
Abstract
The determination of the spatial position and orientation of industrial objects by optical sensors is important for the application of image processing methods in industrial automation. An approach is described which employs the extraction of a 2-D structural description from a monocular view of the scene in a first step and a comparison with the 3-D structural description of prototypes in a second step in order to find the object position. The structural comparison employs a relaxation method.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Vision and Pattern Recognition
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Proceedings - International Conference on Pattern Recognition. 1990. p. 191-193 (Proceedings - International Conference on Pattern Recognition; Vol. 1).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Recognition of the spatial position of industrial 3D-objects using relaxation techniques
AU - Heuser, M.
AU - Liedtke, C. E.
PY - 1990
Y1 - 1990
N2 - The determination of the spatial position and orientation of industrial objects by optical sensors is important for the application of image processing methods in industrial automation. An approach is described which employs the extraction of a 2-D structural description from a monocular view of the scene in a first step and a comparison with the 3-D structural description of prototypes in a second step in order to find the object position. The structural comparison employs a relaxation method.
AB - The determination of the spatial position and orientation of industrial objects by optical sensors is important for the application of image processing methods in industrial automation. An approach is described which employs the extraction of a 2-D structural description from a monocular view of the scene in a first step and a comparison with the 3-D structural description of prototypes in a second step in order to find the object position. The structural comparison employs a relaxation method.
UR - http://www.scopus.com/inward/record.url?scp=0025558589&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0025558589
SN - 0818620625
T3 - Proceedings - International Conference on Pattern Recognition
SP - 191
EP - 193
BT - Proceedings - International Conference on Pattern Recognition
T2 - 10th International Conference on Pattern Recognition
Y2 - 16 June 1990 through 21 June 1990
ER -