Three dimensional scenes and object recognition


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.

Cite this paper

@article{Kx00F6ksal2017ThreeDS, title={Three dimensional scenes and object recognition}, author={Ali Kx00F6ksal and Furkan Eren Uzyx0131ldx0131rx0131m and Mustafa x00D6zuysal}, journal={2017 25th Signal Processing and Communications Applications Conference (SIU)}, year={2017}, pages={1-4} }