From global to local statistical shape priors: novel methods to obtain accurate reconstruction results with a limited amount of training shapes
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2017
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| Schriftenreihe: | Studies in Systems, Decision and Control
98 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 TUM01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (xxi, 259 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783319535081 |
| ISSN: | 2198-4182 |
| DOI: | 10.1007/978-3-319-53508-1 |
Internformat
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| 245 | 1 | 0 | |a From global to local statistical shape priors |b novel methods to obtain accurate reconstruction results with a limited amount of training shapes |c Carsten Last |
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Datensatz im Suchindex
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| author | Last, Carsten |
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| discipline | Informatik Elektrotechnik Maschinenbau |
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| id | DE-604.BV044257433 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:35:01Z |
| institution | BVB |
| isbn | 9783319535081 |
| issn | 2198-4182 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029662440 |
| oclc_num | 992528543 |
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| physical | 1 Online-Ressource (xxi, 259 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-2-ENG ZDB-2-ENG_2017 |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| record_format | marc |
| series | Studies in Systems, Decision and Control |
| series2 | Studies in systems, decision and control |
| spellingShingle | Last, Carsten From global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes Studies in Systems, Decision and Control Engineering Artificial intelligence Computer graphics Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Ingenieurwissenschaften Künstliche Intelligenz |
| title | From global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes |
| title_auth | From global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes |
| title_exact_search | From global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes |
| title_full | From global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes Carsten Last |
| title_fullStr | From global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes Carsten Last |
| title_full_unstemmed | From global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes Carsten Last |
| title_short | From global to local statistical shape priors |
| title_sort | from global to local statistical shape priors novel methods to obtain accurate reconstruction results with a limited amount of training shapes |
| title_sub | novel methods to obtain accurate reconstruction results with a limited amount of training shapes |
| topic | Engineering Artificial intelligence Computer graphics Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Ingenieurwissenschaften Künstliche Intelligenz |
| topic_facet | Engineering Artificial intelligence Computer graphics Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Ingenieurwissenschaften Künstliche Intelligenz |
| url | https://doi.org/10.1007/978-3-319-53508-1 |
| volume_link | (DE-604)BV041646147 |
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