Statistical partial constraints for 3D model matching and pose estimation problems:
Abstract: "We explore the potential of variance matrices to represent not just statistical error on object pose estimates but also partially constrained degrees of freedom. Using an iterated extended Kalman filter as an estimation tool, we generate, combine and predict partially constrained pos...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1993
|
| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
650 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "We explore the potential of variance matrices to represent not just statistical error on object pose estimates but also partially constrained degrees of freedom. Using an iterated extended Kalman filter as an estimation tool, we generate, combine and predict partially constrained pose estimates from 3D range data. We find that partial constraints on the translation component of pose which occur frequently in practice are handled well by the method. However, coupled partial constraints between rotation and translation are, in general, non- linear and cannot be represented by this method." |
| Beschreibung: | [10] S. |
Internformat
MARC
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| 245 | 1 | 0 | |a Statistical partial constraints for 3D model matching and pose estimation problems |c M. Waite ... |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 650 | |
| 520 | 3 | |a Abstract: "We explore the potential of variance matrices to represent not just statistical error on object pose estimates but also partially constrained degrees of freedom. Using an iterated extended Kalman filter as an estimation tool, we generate, combine and predict partially constrained pose estimates from 3D range data. We find that partial constraints on the translation component of pose which occur frequently in practice are handled well by the method. However, coupled partial constraints between rotation and translation are, in general, non- linear and cannot be represented by this method." | |
| 650 | 7 | |a Pattern recognition, image processing and remote sensing |2 sigle | |
| 650 | 4 | |a Computer vision | |
| 700 | 1 | |a Waite, M. |e Sonstige |4 oth | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 650 |w (DE-604)BV010450646 |9 650 | |
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| id | DE-604.BV010464846 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:58Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006973071 |
| oclc_num | 32006223 |
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| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | [10] S. |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Statistical partial constraints for 3D model matching and pose estimation problems M. Waite ... Edinburgh 1993 [10] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 650 Abstract: "We explore the potential of variance matrices to represent not just statistical error on object pose estimates but also partially constrained degrees of freedom. Using an iterated extended Kalman filter as an estimation tool, we generate, combine and predict partially constrained pose estimates from 3D range data. We find that partial constraints on the translation component of pose which occur frequently in practice are handled well by the method. However, coupled partial constraints between rotation and translation are, in general, non- linear and cannot be represented by this method." Pattern recognition, image processing and remote sensing sigle Computer vision Waite, M. Sonstige oth Department of Artificial Intelligence: DAI research paper University <Edinburgh> 650 (DE-604)BV010450646 650 |
| spellingShingle | Statistical partial constraints for 3D model matching and pose estimation problems Pattern recognition, image processing and remote sensing sigle Computer vision |
| title | Statistical partial constraints for 3D model matching and pose estimation problems |
| title_auth | Statistical partial constraints for 3D model matching and pose estimation problems |
| title_exact_search | Statistical partial constraints for 3D model matching and pose estimation problems |
| title_full | Statistical partial constraints for 3D model matching and pose estimation problems M. Waite ... |
| title_fullStr | Statistical partial constraints for 3D model matching and pose estimation problems M. Waite ... |
| title_full_unstemmed | Statistical partial constraints for 3D model matching and pose estimation problems M. Waite ... |
| title_short | Statistical partial constraints for 3D model matching and pose estimation problems |
| title_sort | statistical partial constraints for 3d model matching and pose estimation problems |
| topic | Pattern recognition, image processing and remote sensing sigle Computer vision |
| topic_facet | Pattern recognition, image processing and remote sensing Computer vision |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT waitem statisticalpartialconstraintsfor3dmodelmatchingandposeestimationproblems |