Class based recognition of 3D objects represented by volumetric primitives:
Abstract: "This paper presents a novel approach to recognizing 3D complex objects that have similar geometric structure but belong to different subclasses. Test scenes are acquired by a laser striper as range images, and the objects are modelled using a composite volumetric representation of su...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1996
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| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
816 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "This paper presents a novel approach to recognizing 3D complex objects that have similar geometric structure but belong to different subclasses. Test scenes are acquired by a laser striper as range images, and the objects are modelled using a composite volumetric representation of superquadrics and geons. Matching is decomposed into two stages: first, an indexing scheme designed to make effective use of the symbolic keys of the representation is implemented in order to direct the search to the models containing the parts identified; second, a method is proposed where the hypotheses picked from the index are searched using an Interpretation Tree algorithm combined with a quality measure to evaluate the bindings and the final valid hypotheses based on Possibility Theory, or Theory of Fuzzy Sets. The valid hypotheses ranked by the matching process are then passed to the pose estimation module." |
| Beschreibung: | [10] S. |
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| 100 | 1 | |a Borges, Díbio B. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Class based recognition of 3D objects represented by volumetric primitives |c Borges, D. B. ; Fisher, R. B. |
| 264 | 1 | |a Edinburgh |c 1996 | |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 816 | |
| 520 | 3 | |a Abstract: "This paper presents a novel approach to recognizing 3D complex objects that have similar geometric structure but belong to different subclasses. Test scenes are acquired by a laser striper as range images, and the objects are modelled using a composite volumetric representation of superquadrics and geons. Matching is decomposed into two stages: first, an indexing scheme designed to make effective use of the symbolic keys of the representation is implemented in order to direct the search to the models containing the parts identified; second, a method is proposed where the hypotheses picked from the index are searched using an Interpretation Tree algorithm combined with a quality measure to evaluate the bindings and the final valid hypotheses based on Possibility Theory, or Theory of Fuzzy Sets. The valid hypotheses ranked by the matching process are then passed to the pose estimation module." | |
| 650 | 7 | |a Pattern recognition, image processing and remote sensing |2 sigle | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Fuzzy sets | |
| 650 | 4 | |a Pattern recognition systems | |
| 650 | 4 | |a Set theory | |
| 700 | 1 | |a Fisher, Robert B. |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 816 |w (DE-604)BV010450646 |9 816 | |
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| author | Borges, Díbio B. Fisher, Robert B. |
| author_facet | Borges, Díbio B. Fisher, Robert B. |
| author_role | aut aut |
| author_sort | Borges, Díbio B. |
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| bvnumber | BV011050019 |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:03:10Z |
| institution | BVB |
| language | English |
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| publishDate | 1996 |
| publishDateSearch | 1996 |
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| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Borges, Díbio B. Verfasser aut Class based recognition of 3D objects represented by volumetric primitives Borges, D. B. ; Fisher, R. B. Edinburgh 1996 [10] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 816 Abstract: "This paper presents a novel approach to recognizing 3D complex objects that have similar geometric structure but belong to different subclasses. Test scenes are acquired by a laser striper as range images, and the objects are modelled using a composite volumetric representation of superquadrics and geons. Matching is decomposed into two stages: first, an indexing scheme designed to make effective use of the symbolic keys of the representation is implemented in order to direct the search to the models containing the parts identified; second, a method is proposed where the hypotheses picked from the index are searched using an Interpretation Tree algorithm combined with a quality measure to evaluate the bindings and the final valid hypotheses based on Possibility Theory, or Theory of Fuzzy Sets. The valid hypotheses ranked by the matching process are then passed to the pose estimation module." Pattern recognition, image processing and remote sensing sigle Computer vision Fuzzy sets Pattern recognition systems Set theory Fisher, Robert B. Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 816 (DE-604)BV010450646 816 |
| spellingShingle | Borges, Díbio B. Fisher, Robert B. Class based recognition of 3D objects represented by volumetric primitives Pattern recognition, image processing and remote sensing sigle Computer vision Fuzzy sets Pattern recognition systems Set theory |
| title | Class based recognition of 3D objects represented by volumetric primitives |
| title_auth | Class based recognition of 3D objects represented by volumetric primitives |
| title_exact_search | Class based recognition of 3D objects represented by volumetric primitives |
| title_full | Class based recognition of 3D objects represented by volumetric primitives Borges, D. B. ; Fisher, R. B. |
| title_fullStr | Class based recognition of 3D objects represented by volumetric primitives Borges, D. B. ; Fisher, R. B. |
| title_full_unstemmed | Class based recognition of 3D objects represented by volumetric primitives Borges, D. B. ; Fisher, R. B. |
| title_short | Class based recognition of 3D objects represented by volumetric primitives |
| title_sort | class based recognition of 3d objects represented by volumetric primitives |
| topic | Pattern recognition, image processing and remote sensing sigle Computer vision Fuzzy sets Pattern recognition systems Set theory |
| topic_facet | Pattern recognition, image processing and remote sensing Computer vision Fuzzy sets Pattern recognition systems Set theory |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT borgesdibiob classbasedrecognitionof3dobjectsrepresentedbyvolumetricprimitives AT fisherrobertb classbasedrecognitionof3dobjectsrepresentedbyvolumetricprimitives |