Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Müller, Klaus | |
dc.contributor.author | Hütwohl, Jan-Marco | |
dc.contributor.author | Kuhnert, Klaus-Dieter | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2019-05-14T06:37:10Z | - |
dc.date.available | 2019-05-14T06:37:10Z | - |
dc.date.issued | 2018 | |
dc.identifier.citation | WSCG '2018: short communications proceedings: The 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic May 28 - June 1 2018, p. 125-134. | en |
dc.identifier.isbn | 978-80-86943-41-1 | |
dc.identifier.issn | 2464-4617 | |
dc.identifier.uri | wscg.zcu.cz/WSCG2018/!!_CSRN-2802.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/34664 | |
dc.description.abstract | 3D fish animations become more and more popular in fish behavioral research. It empowers the experimenter to design fish stimuli and their specific behavior to the experiment’s needs. The fish animation can be done manually or derived from video footage. Especially automatic fish model parameter recovery for 3D animations is not well studied yet. Here we present a novel, flexible method for this purpose. It can be used to recover position, pose, bone rotation and size from single or multiple view and for single or multiple fish. Additionally we implement a novel method to compensate the fish tank’s refraction effect and show that this method can decrease the error up to 80 %. We successfully applied the proposed method to two different data sets and recovered fish parameters out of single- and double-view video stream. A video attached to this paper demonstrates the results. | en |
dc.format | 10 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | en |
dc.relation.ispartofseries | WSCG '2018: short communications proceedings | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | zachycení pohybu | cs |
dc.subject | oživení postoje | cs |
dc.subject | analýza syntézou | cs |
dc.subject | kompenzace lomu | cs |
dc.subject | sledování ryb | cs |
dc.title | Fish motion capture with refraction synthesis | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | motion capture | en |
dc.subject.translated | pose recovery | en |
dc.subject.translated | analysis by synthesis | en |
dc.subject.translated | refraction compensation | en |
dc.subject.translated | fish tracking | en |
dc.identifier.doi | https://doi.org/10.24132/CSRN.2018.2802.16 | |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | WSCG '2018: Short Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Muller.pdf | Plný text | 7,58 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/34664
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