Practical aspect-graph derivation incorporating feature segmentation performance:
Abstract: "A procedure is described for the automatic derivation of aspect graphs of surface-based geometric models. The object models are made of finite, typed, second-order surface patches -- allowing the representation of a large number of complex curved objects while retaining ease of recog...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1992
|
| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
591 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "A procedure is described for the automatic derivation of aspect graphs of surface-based geometric models. The object models are made of finite, typed, second-order surface patches -- allowing the representation of a large number of complex curved objects while retaining ease of recognition. A new representation, the detectability sphere, is developed to encode feature detectability constraints. The detectability metric is directly related to the performance of the imaging system, allowing the generated aspect graph to more truthfully represent the scene's relationship with the vision system. An algorithm is described which fuses information from several views of the object to produce a small number of characteristic views which cover some desired portion of the viewsphere, and annotates these fundamental views with pose-verification hints. The procedure is compared with previous analytic and approximate solutions to the aspect-graph problem regarding relevance to the vision process, range of applicability, and computational complexity." |
| Beschreibung: | [10] S. |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV010459759 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | t | ||
| 008 | 951031s1992 |||| 00||| engod | ||
| 035 | |a (OCoLC)32223104 | ||
| 035 | |a (DE-599)BVBBV010459759 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91G | ||
| 100 | 1 | |a Fitzgibbon, Andrew W. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Practical aspect-graph derivation incorporating feature segmentation performance |c A. W. Fitzgibbon and R. B. Fisher |
| 264 | 1 | |a Edinburgh |c 1992 | |
| 300 | |a [10] S. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 591 | |
| 520 | 3 | |a Abstract: "A procedure is described for the automatic derivation of aspect graphs of surface-based geometric models. The object models are made of finite, typed, second-order surface patches -- allowing the representation of a large number of complex curved objects while retaining ease of recognition. A new representation, the detectability sphere, is developed to encode feature detectability constraints. The detectability metric is directly related to the performance of the imaging system, allowing the generated aspect graph to more truthfully represent the scene's relationship with the vision system. An algorithm is described which fuses information from several views of the object to produce a small number of characteristic views which cover some desired portion of the viewsphere, and annotates these fundamental views with pose-verification hints. The procedure is compared with previous analytic and approximate solutions to the aspect-graph problem regarding relevance to the vision process, range of applicability, and computational complexity." | |
| 650 | 7 | |a Pattern recognition, image processing and remote sensing |2 sigle | |
| 650 | 7 | |a Robotics and its application |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 591 |w (DE-604)BV010450646 |9 591 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-006968732 | ||
Datensatz im Suchindex
| _version_ | 1804124890863763456 |
|---|---|
| any_adam_object | |
| author | Fitzgibbon, Andrew W. Fisher, Robert B. |
| author_facet | Fitzgibbon, Andrew W. Fisher, Robert B. |
| author_role | aut aut |
| author_sort | Fitzgibbon, Andrew W. |
| author_variant | a w f aw awf r b f rb rbf |
| building | Verbundindex |
| bvnumber | BV010459759 |
| ctrlnum | (OCoLC)32223104 (DE-599)BVBBV010459759 |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02228nam a2200325 cb4500</leader><controlfield tag="001">BV010459759</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">951031s1992 |||| 00||| engod</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)32223104</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV010459759</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Fitzgibbon, Andrew W.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Practical aspect-graph derivation incorporating feature segmentation performance</subfield><subfield code="c">A. W. Fitzgibbon and R. B. Fisher</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Edinburgh</subfield><subfield code="c">1992</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">[10] S.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">University <Edinburgh> / Department of Artificial Intelligence: DAI research paper</subfield><subfield code="v">591</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Abstract: "A procedure is described for the automatic derivation of aspect graphs of surface-based geometric models. The object models are made of finite, typed, second-order surface patches -- allowing the representation of a large number of complex curved objects while retaining ease of recognition. A new representation, the detectability sphere, is developed to encode feature detectability constraints. The detectability metric is directly related to the performance of the imaging system, allowing the generated aspect graph to more truthfully represent the scene's relationship with the vision system. An algorithm is described which fuses information from several views of the object to produce a small number of characteristic views which cover some desired portion of the viewsphere, and annotates these fundamental views with pose-verification hints. The procedure is compared with previous analytic and approximate solutions to the aspect-graph problem regarding relevance to the vision process, range of applicability, and computational complexity."</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Pattern recognition, image processing and remote sensing</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Robotics and its application</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fisher, Robert B.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="810" ind1="2" ind2=" "><subfield code="a">Department of Artificial Intelligence: DAI research paper</subfield><subfield code="t">University <Edinburgh></subfield><subfield code="v">591</subfield><subfield code="w">(DE-604)BV010450646</subfield><subfield code="9">591</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-006968732</subfield></datafield></record></collection> |
| id | DE-604.BV010459759 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:51Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006968732 |
| oclc_num | 32223104 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | [10] S. |
| publishDate | 1992 |
| publishDateSearch | 1992 |
| publishDateSort | 1992 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Fitzgibbon, Andrew W. Verfasser aut Practical aspect-graph derivation incorporating feature segmentation performance A. W. Fitzgibbon and R. B. Fisher Edinburgh 1992 [10] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 591 Abstract: "A procedure is described for the automatic derivation of aspect graphs of surface-based geometric models. The object models are made of finite, typed, second-order surface patches -- allowing the representation of a large number of complex curved objects while retaining ease of recognition. A new representation, the detectability sphere, is developed to encode feature detectability constraints. The detectability metric is directly related to the performance of the imaging system, allowing the generated aspect graph to more truthfully represent the scene's relationship with the vision system. An algorithm is described which fuses information from several views of the object to produce a small number of characteristic views which cover some desired portion of the viewsphere, and annotates these fundamental views with pose-verification hints. The procedure is compared with previous analytic and approximate solutions to the aspect-graph problem regarding relevance to the vision process, range of applicability, and computational complexity." Pattern recognition, image processing and remote sensing sigle Robotics and its application sigle Computer vision Fisher, Robert B. Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 591 (DE-604)BV010450646 591 |
| spellingShingle | Fitzgibbon, Andrew W. Fisher, Robert B. Practical aspect-graph derivation incorporating feature segmentation performance Pattern recognition, image processing and remote sensing sigle Robotics and its application sigle Computer vision |
| title | Practical aspect-graph derivation incorporating feature segmentation performance |
| title_auth | Practical aspect-graph derivation incorporating feature segmentation performance |
| title_exact_search | Practical aspect-graph derivation incorporating feature segmentation performance |
| title_full | Practical aspect-graph derivation incorporating feature segmentation performance A. W. Fitzgibbon and R. B. Fisher |
| title_fullStr | Practical aspect-graph derivation incorporating feature segmentation performance A. W. Fitzgibbon and R. B. Fisher |
| title_full_unstemmed | Practical aspect-graph derivation incorporating feature segmentation performance A. W. Fitzgibbon and R. B. Fisher |
| title_short | Practical aspect-graph derivation incorporating feature segmentation performance |
| title_sort | practical aspect graph derivation incorporating feature segmentation performance |
| topic | Pattern recognition, image processing and remote sensing sigle Robotics and its application sigle Computer vision |
| topic_facet | Pattern recognition, image processing and remote sensing Robotics and its application Computer vision |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT fitzgibbonandreww practicalaspectgraphderivationincorporatingfeaturesegmentationperformance AT fisherrobertb practicalaspectgraphderivationincorporatingfeaturesegmentationperformance |