Local All-Pass filters for optical flow estimation
Refereed conference paper presented and published in conference proceedings

替代計量分析
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其它資訊
摘要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.
著者Gilliam C., Blu T.
會議名稱40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
會議開始日19.04.2014
會議完結日24.04.2014
會議地點Brisbane
會議國家/地區澳大利亞
詳細描述organized by IEEE,
出版年份2015
月份1
日期1
卷號2015-August
頁次1533 - 1537
國際標準書號9781467369978
國際標準期刊號1520-6149
語言英式英語
關鍵詞All-pass Filters, Approximation, Motion Estimation, Optical Flow

上次更新時間 2021-12-01 於 23:51