Filtering requirements for gradient-based optical flow measurement

被引：16

作者：

Christmas, WJ ^{[1
]}

机构：

[1] Univ Surrey, Ctr Vis Speech & Signal Proc, Guildford GU2 5XH, Surrey, England

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2000年 / 9卷 / 10期

基金：

英国工程与自然科学研究理事会;

关键词：

aliasing; gradient method; motion measurement; optical flow;

D O I：

10.1109/83.869192

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The accuracy of gradient-based optical flow algorithms depends on the ability to measure intensity gradients accurately, We will show how the temporal gradient can be compromised by temporal aliasing arising from motion and how appropriate post-sampling spatial filtering improves the situation. We will also demonstrate a benefit of using higher-order gradient estimators.

引用

页码：1817 / 1820

页数：4

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