Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6431
Title: Robust Keypoint Matching for Three Dimensional Scenes and Object Recognition
Other Titles: Üç Boyutlu Sahneler ve Nesne Tanıma için Gürbüz Anahtar Nokta Eşleştirilmesi
Authors: Koksal, Ali
Uzyildirim, Furkan Eren
Ozuysal, Mustafa
Keywords: Computer Vision
Object Recognition
Binary Descriptors
Keypoint Matching
Publisher: IEEE
Source: Köksal, A., Uzyıldırım, F. E., and Özuysal, M. (2017, May 15-18). Üç boyutlu sahneler ve nesne tanıma için gürbüz anahtar nokta eşleştirilmesi. Paper presented at the Üç boyutlu sahneler ve nesne tanıma için gürbüz anahtar nokta eşleştirilmesi. doi:10.1109/SIU.2017.7960609
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: In this paper, we adapt a recently proposed keypoint matching approach for binary descriptors and planar objects to three dimensional objects. We also evaluate the performance of this approach for a museum object recognition application containing more than one hundred paintings. Moreover, we quantify the effect of selecting only descriptors with high matching ratio on the success rate of the object recognition application.
Description: Ozuysal, Mustafa/0000-0003-0257-6882;
URI: http://doi.org/10.1109/SIU.2017.7960609
ISBN: 9781509064946
ISSN: 2165-0608
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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