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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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