100+Times FasterWeighted Median Filter (WMF)
Refereed conference paper presented and published in conference proceedings


引用次數
替代計量分析
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其它資訊
摘要Weighted median, in the form of either solver or filter, has been employed in a wide range of computer vision solutions for its beneficial properties in sparsity representation. But it is hard to be accelerated due to the spatially varying weight and the median property. We propose a few efficient schemes to reduce computation complexity from O(r(2)) to O(r) where r is the kernel size. Our contribution is on a new joint-histogram representation, median tracking, and a new data structure that enables fast data access. The effectiveness of these schemes is demonstrated on optical flow estimation, stereo matching, structure-texture separation, image filtering, to name a few. The running time is largely shortened from several minutes to less than 1 second. The source code is provided in the project website.
著者Zhang Q, Xu L, Jia JY
會議名稱27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
會議開始日23.06.2014
會議完結日28.06.2014
會議地點Columbus
會議國家/地區美國
詳細描述IEEE
出版年份2014
月份1
日期1
出版社IEEE
頁次2830 - 2837
電子國際標準書號978-1-4799-5117-8
國際標準期刊號1063-6919
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence

上次更新時間 2021-07-06 於 01:32