Scale space and variational methods in computer vision: 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings
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Weitere Verfasser: | , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2019]
Cham |
Schriftenreihe: | Lecture notes in computer science
11603 : Image processing, computer vision, pattern recognition, and graphics |
Schlagworte: | |
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Beschreibung: | 1 Online-Ressource (xvii, 574 Seiten) Illustrationen, Diagramme |
ISBN: | 9783030223687 |
DOI: | 10.1007/978-3-030-22368-7 |
Internformat
MARC
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Datensatz im Suchindex
DE-BY-FWS_katkey | 730732 |
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author2 | Lellmann, Jan Burger, Martin Modersitzki, Jan |
author2_role | edt edt edt |
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author_GND | (DE-588)1016195257 |
author_corporate | SSVM Hofgeismar |
author_corporate_role | aut |
author_facet | Lellmann, Jan Burger, Martin Modersitzki, Jan SSVM Hofgeismar |
author_sort | SSVM Hofgeismar |
building | Verbundindex |
bvnumber | BV046062464 |
classification_rvk | SS 4800 |
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dewey-full | 006.37 006.6 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.37 006.6 |
dewey-search | 006.37 006.6 |
dewey-sort | 16.37 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-030-22368-7 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV046062464 |
illustrated | Not Illustrated |
indexdate | 2024-10-25T04:00:34Z |
institution | BVB |
institution_GND | (DE-588)118865389X |
isbn | 9783030223687 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031443779 |
oclc_num | 1111824445 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 |
owner_facet | DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 |
physical | 1 Online-Ressource (xvii, 574 Seiten) Illustrationen, Diagramme |
psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2019 ZDB-2-LNC_2019 ZDB-2-LNC ZDB-2-LNC_2019 |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Springer |
record_format | marc |
series | Lecture notes in computer science |
series2 | Lecture notes in computer science Image processing, computer vision, pattern recognition, and graphics |
spellingShingle | Scale space and variational methods in computer vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings Lecture notes in computer science Image Processing and Computer Vision Numeric Computing Math Applications in Computer Science Artificial Intelligence Computer vision Electronic data processing Computer science Artificial intelligence Geometrieverarbeitung (DE-588)4194224-3 gnd Rauschunterdrückung (DE-588)4177102-3 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Level-Set-Methode (DE-588)4700693-6 gnd Bildverarbeitung (DE-588)4006684-8 gnd Variationsrechnung (DE-588)4062355-5 gnd Skalenraum (DE-588)4510670-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
subject_GND | (DE-588)4194224-3 (DE-588)4177102-3 (DE-588)4314440-8 (DE-588)4700693-6 (DE-588)4006684-8 (DE-588)4062355-5 (DE-588)4510670-8 (DE-588)4129594-8 (DE-588)1071861417 |
title | Scale space and variational methods in computer vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings |
title_auth | Scale space and variational methods in computer vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings |
title_exact_search | Scale space and variational methods in computer vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings |
title_full | Scale space and variational methods in computer vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings Jan Lellmann, Martin Burger, Jan Modersitzki (Eds.) |
title_fullStr | Scale space and variational methods in computer vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings Jan Lellmann, Martin Burger, Jan Modersitzki (Eds.) |
title_full_unstemmed | Scale space and variational methods in computer vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings Jan Lellmann, Martin Burger, Jan Modersitzki (Eds.) |
title_short | Scale space and variational methods in computer vision |
title_sort | scale space and variational methods in computer vision 7th international conference ssvm 2019 hofgeismar germany june 30 july 4 2019 proceedings |
title_sub | 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019 : proceedings |
topic | Image Processing and Computer Vision Numeric Computing Math Applications in Computer Science Artificial Intelligence Computer vision Electronic data processing Computer science Artificial intelligence Geometrieverarbeitung (DE-588)4194224-3 gnd Rauschunterdrückung (DE-588)4177102-3 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Level-Set-Methode (DE-588)4700693-6 gnd Bildverarbeitung (DE-588)4006684-8 gnd Variationsrechnung (DE-588)4062355-5 gnd Skalenraum (DE-588)4510670-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
topic_facet | Image Processing and Computer Vision Numeric Computing Math Applications in Computer Science Artificial Intelligence Computer vision Electronic data processing Computer science Artificial intelligence Geometrieverarbeitung Rauschunterdrückung Merkmalsextraktion Level-Set-Methode Bildverarbeitung Variationsrechnung Skalenraum Maschinelles Sehen Konferenzschrift |
url | https://doi.org/10.1007/978-3-030-22368-7 |
volume_link | (DE-604)BV014880109 |
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