This paper studies an image descriptor that mimics the retina's photo receiving cell pattern. Various pattern differencing combinations and second order differencing techniques were explored. This new method shows higher precision and recall performance than the classical BRIEF and steered BRIEF descriptors.

Additional Metadata
Keywords AKAZE, Binary descriptors, BRIEF, Image feature, ORB, SIFT, SURF, YBRIEF
Persistent URL dx.doi.org/10.1109/ICIVC.2017.7984524
Conference 2nd International Conference on Image, Vision and Computing, ICIVC 2017
Citation
Shi, J.-F. (Jian-Feng), Ulrich, S, & Ruel, S. (Stephane). (2017). YBRIEF: A study of non-Gaussian Binary Elementary Features. In 2017 2nd International Conference on Image, Vision and Computing, ICIVC 2017 (pp. 87–91). doi:10.1109/ICIVC.2017.7984524