Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kurzejamski, Grzegorz | |
dc.contributor.author | Zawistowski, Jacek | |
dc.contributor.author | Sarwas, Grzegorz | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2018-05-16T08:20:57Z | - |
dc.date.available | 2018-05-16T08:20:57Z | - |
dc.date.issued | 2015 | |
dc.identifier.citation | WSCG '2015: short communications proceedings: The 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2015 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic8-12 June 2015, p. 9-16. | en |
dc.identifier.isbn | 978-80-86943-66-4 | |
dc.identifier.issn | 2464-4617 | |
dc.identifier.uri | wscg.zcu.cz/WSCG2015/CSRN-2502.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/29660 | |
dc.description.abstract | This paper presents a framework designed for the multi-object detection purposes and adjusted for the application of product search on the market shelves. The framework uses a single feedback loop and a pattern resizing mechanism to demonstrate the top effectiveness of the state-of-the-art local features. A high detection rate with a low false detection chance can be achieved with use of only one pattern per object and no manual parameters adjustments. The method incorporates well known local features and a basic matching process to create a reliable voting space. Further steps comprise of metric transformations, graphical vote space representation, two-phase vote aggregation process and a cascade of verifying filters. | en |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | en |
dc.relation.ispartofseries | WSCG '2015: short communications proceedings | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | počítačové vidění | cs |
dc.subject | analýza obrazu | cs |
dc.subject | detekce více objektů | cs |
dc.subject | lokalizace objektu | cs |
dc.subject | přizpůsobení vzoru | cs |
dc.title | A framework for robust object multi-detection with a vote aggregation and a cascade filtering | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | computer vision | en |
dc.subject.translated | image analysis | en |
dc.subject.translated | multiple object detection | en |
dc.subject.translated | object localization | en |
dc.subject.translated | pattern matching | en |
dc.type.status | Peer-reviewed | en |
Appears in Collections: | WSCG '2015: Short Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Kurzejamski.pdf | Plný text | 1,42 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29660
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