BRIEF: Binary Robust Independent Elementary Features

We propose to use binary strings as an efficient feature point descriptor, which we call BRIEF. We show that it is highly discriminative even when using relatively few bits and can be computed using simple intensity difference tests. Furthermore, the descriptor similarity can be evaluated using the Hamming distance, which is very efficient to compute, instead of the L-2 norm as is usually done.


Publié dans:
Computer Vision-Eccv 2010, Pt Iv, 6314, 778-792
Présenté à:
11th European Conference on Computer Vision (ECCV)
Année
2010
Publisher:
Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa
ISBN:
978-3-642-15560-4
Laboratoires:




 Notice créée le 2010-06-07, modifiée le 2018-03-17

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