TY - GEN
T1 - An experimental evaluation of binary feature descriptors
AU - Alshazly, Hammam A.
AU - Hassaballah, M.
AU - Ali, Abdelmgeid A.
AU - Wang, G.
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG.
PY - 2018
Y1 - 2018
N2 - Efficient and compact representation of local image patches in the form of features descriptors that are distinctive/robust as well as fast to compute and match is an essential and inevitable step for many computer vision applications. One category of these representations is the binary descriptors which have been shown to be successful alternatives providing similar performance to their floating-point counterparts while being efficient to compute and store. In this paper, a comprehensive performance evaluation of the current state-of-the-art binary descriptors; namely, BRIEF, ORB, BRISK, FREAK, and LATCH is presented in the context of image matching. This performance evaluation highlights several points regarding the performance characteristics of binary descriptors under various geometric and photometric transformations of images.
AB - Efficient and compact representation of local image patches in the form of features descriptors that are distinctive/robust as well as fast to compute and match is an essential and inevitable step for many computer vision applications. One category of these representations is the binary descriptors which have been shown to be successful alternatives providing similar performance to their floating-point counterparts while being efficient to compute and store. In this paper, a comprehensive performance evaluation of the current state-of-the-art binary descriptors; namely, BRIEF, ORB, BRISK, FREAK, and LATCH is presented in the context of image matching. This performance evaluation highlights several points regarding the performance characteristics of binary descriptors under various geometric and photometric transformations of images.
UR - https://www.scopus.com/pages/publications/85029506053
U2 - 10.1007/978-3-319-64861-3_17
DO - 10.1007/978-3-319-64861-3_17
M3 - Conference contribution
AN - SCOPUS:85029506053
SN - 9783319648606
T3 - Advances in Intelligent Systems and Computing
SP - 181
EP - 191
BT - Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017
A2 - Tolba, Mohamed F.
A2 - Gaber, Tarek
A2 - Shaalan, Khaled
A2 - Hassanien, Aboul Ella
PB - Springer Verlag
T2 - 3rd International Conference on Advanced Intelligent Systems and Informatics, AISI 2017
Y2 - 9 September 2017 through 11 September 2017
ER -