Title: A simple and efficient feature descriptor for fast matching
Authors: Hast, Anders
Sablina, Victoria A.
Kylberg, Gustaf
Sintorn, Ida-Maria
Citation: WSCG 2015: full papers proceedings: 23rd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 135-142.
Issue Date: 2015
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2015/CSRN-2501.pdf
ISBN: 978-80-86943-65-7 (print)
978-80-86943-61-9 (CD-ROM)
ISSN: 2464–4617 (print)
2464–4625 (CD-ROM)
Keywords: deskriptor funkcí;nebližší odpovídající soused;rotační invariance;SURF;detektor zájmových bodů
Keywords in different language: feature descriptor;nearest neighbour matching;rotation invariance;SURF;interest point detector
Abstract: A very simple but efficient feature descriptor is proposed for image matching/registration applications where invariance is not important. The descriptor length is only three times the height of the local region in which the descriptor is calculated, and experiments were conducted to compare it to the SURF descriptor. In addition, it is shown, how the sampling can be modified in order to obtain a rotation invariant descriptor, while still keeping it simple and efficient. Examples from stitching in microscopy and stereo processing of pairs of photographs are given to prove the concept.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2015: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29435

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