https://scholars.lib.ntu.edu.tw/handle/123456789/640505
Title: | Local All-Pass filters for optical flow estimation | Authors: | Gilliam, Christopher THIERRY BLU |
Keywords: | All-pass Filters | Approximation | Motion Estimation | Optical Flow | Issue Date: | 4-Aug-2015 | Journal Volume: | 2015-August | Source: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | Abstract: | The optical flow is a velocity field that describes the motion of pixels within a sequence (or set) of images. Its estimation plays an important role in areas such as motion compensation, object tracking and image registration. In this paper, we present a novel framework to estimate the optical flow using local all-pass filters. Instead of using the optical flow equation, the framework is based on relating one image to another, on a local level, using an all-pass filter and then extracting the optical flow from the filter. Using this framework, we present a fast novel algorithm for estimating a smoothly varying optical flow, which we term the Local All-Pass (LAP) algorithm. We demonstrate that this algorithm is consistent and accurate, and that it outperforms three state-of-the-art algorithms when estimating constant and smoothly varying flows. We also show initial competitive results for real images. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/640505 | ISBN: | 9781467369978 | ISSN: | 15206149 | DOI: | 10.1109/ICASSP.2015.7178227 |
Appears in Collections: | 電機工程學系 |
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