RBRIEF: a robust descriptor based on random binary comparisons

Autor:	Wei Huang, Ling‐Da Wu, Han‐Chen Song, Ying‐Mei Wei
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	RBRIEF random binary comparisons robust descriptor scale rotation transformations descriptor similarity Hamming distance Computer applications to medicine. Medical informatics R858-859.7 Computer software QA76.75-76.765
Zdroj:	IET Computer Vision, Vol 7, Iss 1, Pp 29-35 (2013)
Druh dokumentu:	article
ISSN:	1751-9640 1751-9632
DOI:	10.1049/iet-cvi.2012.0087
Popis:	The authors propose a robust descriptor based on BRIEF, called RBRIEF. Unlike the original BRIEF, the proposed descriptor is also robust to scale and in‐plane rotation transformations. Furthermore, the authors use first derivative as sample function to do binary comparisons which has proven to be better compared against the function of intensity used in BRIEF. In the feature matching stage, the authors use Hamming distance to evaluate the descriptor similarity. As a result, the performance of the proposed descriptor outperforms SURF, BRIEF and ORB using standard benchmarks. In particular, the experiments demonstrate the proposed descriptor's superior performance in the presence of image blur, JPEG compression and light changes. Furthermore, the descriptor exhibits robust performance using only relatively few bits compared to other descriptors.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/94572a9445a44333b5cd235790e438c0 Zobrazit plný text záznamu Plný text View record in DOAJ