Experiments in curvature-based segmentation of range data:
Abstract: "Quantitative evaluation methods for computer vision systems are still rather unstructured and subjective. This paper contributes an example of experimental assessment for a range image segmentation system. The tested system is based on estimates of the sign of the mean and gaussian c...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1992
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| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
582 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "Quantitative evaluation methods for computer vision systems are still rather unstructured and subjective. This paper contributes an example of experimental assessment for a range image segmentation system. The tested system is based on estimates of the sign of the mean and gaussian curvatures. The tests reported are aimed at estimating quantitatively the distortions introduced by the segmentation and the overall classification performance of the system. Such tests are of primary importance for practical applications and for the choice of thresholds." |
| Beschreibung: | 16 S. |
Internformat
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| 100 | 1 | |a Trucco, Emanuele |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Experiments in curvature-based segmentation of range data |c Emanuele Trucco and Robert B. Fisher |
| 264 | 1 | |a Edinburgh |c 1992 | |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 582 | |
| 520 | 3 | |a Abstract: "Quantitative evaluation methods for computer vision systems are still rather unstructured and subjective. This paper contributes an example of experimental assessment for a range image segmentation system. The tested system is based on estimates of the sign of the mean and gaussian curvatures. The tests reported are aimed at estimating quantitatively the distortions introduced by the segmentation and the overall classification performance of the system. Such tests are of primary importance for practical applications and for the choice of thresholds." | |
| 650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
| 650 | 7 | |a Pattern recognition, image processing and remote sensing |2 sigle | |
| 650 | 4 | |a Computer vision | |
| 700 | 1 | |a Fisher, Robert B. |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 582 |w (DE-604)BV010450646 |9 582 | |
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Datensatz im Suchindex
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| author | Trucco, Emanuele Fisher, Robert B. |
| author_facet | Trucco, Emanuele Fisher, Robert B. |
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| author_sort | Trucco, Emanuele |
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| bvnumber | BV010459615 |
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| id | DE-604.BV010459615 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:51Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006968610 |
| oclc_num | 31283402 |
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| physical | 16 S. |
| publishDate | 1992 |
| publishDateSearch | 1992 |
| publishDateSort | 1992 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Trucco, Emanuele Verfasser aut Experiments in curvature-based segmentation of range data Emanuele Trucco and Robert B. Fisher Edinburgh 1992 16 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 582 Abstract: "Quantitative evaluation methods for computer vision systems are still rather unstructured and subjective. This paper contributes an example of experimental assessment for a range image segmentation system. The tested system is based on estimates of the sign of the mean and gaussian curvatures. The tests reported are aimed at estimating quantitatively the distortions introduced by the segmentation and the overall classification performance of the system. Such tests are of primary importance for practical applications and for the choice of thresholds." Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision Fisher, Robert B. Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 582 (DE-604)BV010450646 582 |
| spellingShingle | Trucco, Emanuele Fisher, Robert B. Experiments in curvature-based segmentation of range data Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision |
| title | Experiments in curvature-based segmentation of range data |
| title_auth | Experiments in curvature-based segmentation of range data |
| title_exact_search | Experiments in curvature-based segmentation of range data |
| title_full | Experiments in curvature-based segmentation of range data Emanuele Trucco and Robert B. Fisher |
| title_fullStr | Experiments in curvature-based segmentation of range data Emanuele Trucco and Robert B. Fisher |
| title_full_unstemmed | Experiments in curvature-based segmentation of range data Emanuele Trucco and Robert B. Fisher |
| title_short | Experiments in curvature-based segmentation of range data |
| title_sort | experiments in curvature based segmentation of range data |
| topic | Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision |
| topic_facet | Bionics and artificial intelligence Pattern recognition, image processing and remote sensing Computer vision |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT truccoemanuele experimentsincurvaturebasedsegmentationofrangedata AT fisherrobertb experimentsincurvaturebasedsegmentationofrangedata |