Evaluation Of Hashing Methods Performance On Binary Feature Descriptors
Jacek Komorowski, Tomasz Trzcinski . Advances in Intelligent Systems and Computing 2017 – 2 citations
[Paper]
In this paper we evaluate performance of data-dependent hashing methods on binary data. The goal is to find a hashing method that can effectively produce lower dimensional binary representation of 512-bit FREAK descriptors. A representative sample of recent unsupervised, semi-supervised and supervised hashing methods was experimentally evaluated on large datasets of labelled binary FREAK feature descriptors.