Segmentation of 3D articulated objects by dynamic grouping of discontinuities:
Abstract: "Segmentation of 3D articulated objects into a small number of parts is an important step for recognition of objects in 3D space. Range data provides ready-to-use information to derive a reasonably stable and accurate differential structure of the surfaces, which allow us to track dis...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1993
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| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
643 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "Segmentation of 3D articulated objects into a small number of parts is an important step for recognition of objects in 3D space. Range data provides ready-to-use information to derive a reasonably stable and accurate differential structure of the surfaces, which allow us to track discontinuities between these parts. We present a mixed and comprehensive approach to segmenting and extracting prototypical parts from 3D articulated objects. Discontinuity points detected from the images are combined using a 'snake-type' minimization technique, and deformable superquadric models are fitted to the resulting regions afterwards. We compare our approach with others for part-based segmentation." |
| Beschreibung: | [9] S. |
Internformat
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| 100 | 1 | |a Borges, Díbio L. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Segmentation of 3D articulated objects by dynamic grouping of discontinuities |c Dibio L. Borges and Robert B. Fisher |
| 264 | 1 | |a Edinburgh |c 1993 | |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 643 | |
| 520 | 3 | |a Abstract: "Segmentation of 3D articulated objects into a small number of parts is an important step for recognition of objects in 3D space. Range data provides ready-to-use information to derive a reasonably stable and accurate differential structure of the surfaces, which allow us to track discontinuities between these parts. We present a mixed and comprehensive approach to segmenting and extracting prototypical parts from 3D articulated objects. Discontinuity points detected from the images are combined using a 'snake-type' minimization technique, and deformable superquadric models are fitted to the resulting regions afterwards. We compare our approach with others for part-based segmentation." | |
| 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 | |
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Datensatz im Suchindex
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| author | Borges, Díbio L. Fisher, Robert B. |
| author_facet | Borges, Díbio L. Fisher, Robert B. |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:57Z |
| institution | BVB |
| language | English |
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| physical | [9] S. |
| publishDate | 1993 |
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| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Borges, Díbio L. Verfasser aut Segmentation of 3D articulated objects by dynamic grouping of discontinuities Dibio L. Borges and Robert B. Fisher Edinburgh 1993 [9] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 643 Abstract: "Segmentation of 3D articulated objects into a small number of parts is an important step for recognition of objects in 3D space. Range data provides ready-to-use information to derive a reasonably stable and accurate differential structure of the surfaces, which allow us to track discontinuities between these parts. We present a mixed and comprehensive approach to segmenting and extracting prototypical parts from 3D articulated objects. Discontinuity points detected from the images are combined using a 'snake-type' minimization technique, and deformable superquadric models are fitted to the resulting regions afterwards. We compare our approach with others for part-based segmentation." Pattern recognition, image processing and remote sensing sigle Computer vision Fisher, Robert B. Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 643 (DE-604)BV010450646 643 |
| spellingShingle | Borges, Díbio L. Fisher, Robert B. Segmentation of 3D articulated objects by dynamic grouping of discontinuities Pattern recognition, image processing and remote sensing sigle Computer vision |
| title | Segmentation of 3D articulated objects by dynamic grouping of discontinuities |
| title_auth | Segmentation of 3D articulated objects by dynamic grouping of discontinuities |
| title_exact_search | Segmentation of 3D articulated objects by dynamic grouping of discontinuities |
| title_full | Segmentation of 3D articulated objects by dynamic grouping of discontinuities Dibio L. Borges and Robert B. Fisher |
| title_fullStr | Segmentation of 3D articulated objects by dynamic grouping of discontinuities Dibio L. Borges and Robert B. Fisher |
| title_full_unstemmed | Segmentation of 3D articulated objects by dynamic grouping of discontinuities Dibio L. Borges and Robert B. Fisher |
| title_short | Segmentation of 3D articulated objects by dynamic grouping of discontinuities |
| title_sort | segmentation of 3d articulated objects by dynamic grouping of discontinuities |
| 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 borgesdibiol segmentationof3darticulatedobjectsbydynamicgroupingofdiscontinuities AT fisherrobertb segmentationof3darticulatedobjectsbydynamicgroupingofdiscontinuities |