Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Compass rose: A rotational robust signature for optical flow computation|
|Citation:||IEEE Transactions on Circuits and Systems for Video Technology, 2014; 24(1):63-73|
|Yan Niu, Anthony Dick, and Michael Brooks|
|Abstract:||This paper proposes a new image signature, called Compass Rose, which is particularly suited to optical flow computation. It is differentiable, fast to compute, and robust to additive illumination changes, translation, and fast rotation. We design a sparse flow computation system based on the invariance of the Compass Rose signatures. This is then extended to dense motion estimation by the addition of an optional diffusion step. Quantitative testing on several benchmark sequences shows the Compass Rose attains higher accuracy than the traditional flow signatures under a range of conditions. Finally, we demonstrate its application to human motion estimation, which is challenging for optical flow methods due to fast limb rotation.|
|Keywords:||Data constraint; image signature; motion estimation; optical flow; rotational robustness.|
|Rights:||© 2013 IEEE|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.