Comparative Evaluation of Binary Features

Performance evaluation of salient features has a long-standing tradition in computer vision. In this paper, we fill the gap of evaluation for the recent wave of binary feature descriptors, which aim to provide robustness while achieving high computational efficiency. We use established metrics to embed our assessment into the body of existing evaluations… (More)

6 Figures & Tables



Citations per Year

192 Citations

Semantic Scholar estimates that this publication has 192 citations based on the available data.

See our FAQ for additional information.