Paper Info
Title
Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain.
Abstract
We address the problem of motion estimation in images operating in the frequency domain. A method is presented which extends phase correlation to handle multiple motions present in an area. Our scheme is based on a novel Bilateral-Phase Correlation (BLPC) technique that incorporates the concept and principles of Bilateral Filters retaining the motion boundaries by taking into account the difference both in value and distance in a manner very similar to Gaussian convolution. The optical flow is obtained by applying the proposed method at certain locations selected based on the present motion differences and then performing non-uniform interpolation in a multi-scale iterative framework. Experiments with several well-known datasets with and without ground-truth show that our scheme outperforms recently proposed state-of-the-art phase correlation based optical flow methods.
Year
DOI
Venue
2018
10.1109/SITIS.2018.00034
2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
Keywords
DocType
Volume
Correlation,Optical imaging,Estimation,Adaptive optics,Frequency-domain analysis,Optical filters,Motion estimation
Conference
abs/1811.00327
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Vasileios Argyriou127930.51