Robust Keypoint Matching for Three Dimensional Scenes and Object Recognition
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Date
2017
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Publisher
IEEE
Open Access Color
Green Open Access
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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;
Keywords
Computer Vision, Object Recognition, Binary Descriptors, Keypoint Matching
Fields of Science
03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
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
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Source
25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY
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1
End Page
4
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