Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Filax, Marco | |
dc.contributor.author | Gonschorek, Tim | |
dc.contributor.author | Ortmeier, Frank | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2018-05-21T05:54:10Z | - |
dc.date.available | 2018-05-21T05:54:10Z | - |
dc.date.issued | 2017 | |
dc.identifier.citation | WSCG '2017: short communications proceedings: The 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 29 - June 2 2017, p. 7-15. | en |
dc.identifier.isbn | 978-80-86943-45-9 | |
dc.identifier.issn | 2464-4617 | |
dc.identifier.uri | wscg.zcu.cz/WSCG2017/!!_CSRN-2702.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/29729 | |
dc.description.abstract | Feature matching is one of the fundamental issues in computer vision. The established methods, however, do not provide reliable results, especially for extreme viewpoint changes. Different approaches have been proposed to lower this hurdle, e. g., by randomly sampling different viewpoints to obtain better results. However, these methods are computationally intensive. In this paper, we propose an algorithm to enhance image matching under the assumption that an image, taken in man-made environments, typically contains planar, rectangular objects. We use line segments to identify image patches and compute a homography which unwraps the perspective distortion for each patch. The unwrapped image patches are used to detect, describe and match SIFT features. We evaluate our results on a series of slanted views of a magazine and augmented reality markers. Our results demonstrate, that the proposed algorithm performs well for strong perspective distortions. | en |
dc.format | 9 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | en |
dc.relation.ispartofseries | WSCG '2017: short communications proceedings | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | projektivní transformace | cs |
dc.subject | perspektivní zkreslení | cs |
dc.subject | detekce funkcí | cs |
dc.subject | SIFT funkce | cs |
dc.title | QuadSIFT: unwrapping planar quadrilaterals to enhance feature matching | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | projective transformation | en |
dc.subject.translated | perspective distortion | en |
dc.subject.translated | feature detection | en |
dc.subject.translated | SIFT feature | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | WSCG '2017: Short Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Filax.pdf | Plný text | 7,93 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/29729
Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.