Convex volumetric primitives from slices:
Abstract: "We present a system for recovering 3-D convex subparts and their connectivity from parallel slices of a range image. We call this the volumetric segmentation problem. Instead of fitting a set of 3-D models to the data, we detect regularities (transversality) in the data in order to f...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1990
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| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
477 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "We present a system for recovering 3-D convex subparts and their connectivity from parallel slices of a range image. We call this the volumetric segmentation problem. Instead of fitting a set of 3-D models to the data, we detect regularities (transversality) in the data in order to find plausible joints between subparts. This defines implicitly the class of objects which can be successfully processed. The system can recover strongly bent subparts even though it analyses only parallel cross-sections. Some experimental results are discussed and evaluated according to two criteria, stability and believeability." |
| Beschreibung: | [7] S. |
Internformat
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 477 | |
| 520 | 3 | |a Abstract: "We present a system for recovering 3-D convex subparts and their connectivity from parallel slices of a range image. We call this the volumetric segmentation problem. Instead of fitting a set of 3-D models to the data, we detect regularities (transversality) in the data in order to find plausible joints between subparts. This defines implicitly the class of objects which can be successfully processed. The system can recover strongly bent subparts even though it analyses only parallel cross-sections. Some experimental results are discussed and evaluated according to two criteria, stability and believeability." | |
| 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 | |
| 650 | 4 | |a Image processing | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 477 |w (DE-604)BV010450646 |9 477 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-006965136 | ||
Datensatz im Suchindex
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| author | Trucco, Emanuele |
| author_facet | Trucco, Emanuele |
| author_role | aut |
| author_sort | Trucco, Emanuele |
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| bvnumber | BV010452191 |
| ctrlnum | (OCoLC)23725322 (DE-599)BVBBV010452191 |
| format | Book |
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| id | DE-604.BV010452191 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:46Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006965136 |
| oclc_num | 23725322 |
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| physical | [7] S. |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Trucco, Emanuele Verfasser aut Convex volumetric primitives from slices Edinburgh 1990 [7] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 477 Abstract: "We present a system for recovering 3-D convex subparts and their connectivity from parallel slices of a range image. We call this the volumetric segmentation problem. Instead of fitting a set of 3-D models to the data, we detect regularities (transversality) in the data in order to find plausible joints between subparts. This defines implicitly the class of objects which can be successfully processed. The system can recover strongly bent subparts even though it analyses only parallel cross-sections. Some experimental results are discussed and evaluated according to two criteria, stability and believeability." Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision Image processing Department of Artificial Intelligence: DAI research paper University <Edinburgh> 477 (DE-604)BV010450646 477 |
| spellingShingle | Trucco, Emanuele Convex volumetric primitives from slices Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision Image processing |
| title | Convex volumetric primitives from slices |
| title_auth | Convex volumetric primitives from slices |
| title_exact_search | Convex volumetric primitives from slices |
| title_full | Convex volumetric primitives from slices |
| title_fullStr | Convex volumetric primitives from slices |
| title_full_unstemmed | Convex volumetric primitives from slices |
| title_short | Convex volumetric primitives from slices |
| title_sort | convex volumetric primitives from slices |
| topic | Bionics and artificial intelligence sigle Pattern recognition, image processing and remote sensing sigle Computer vision Image processing |
| topic_facet | Bionics and artificial intelligence Pattern recognition, image processing and remote sensing Computer vision Image processing |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT truccoemanuele convexvolumetricprimitivesfromslices |