Improved global motion estimation based on iterative least-squares with adaptive variable block size

Leiqi Zhu; Dongkai Yang; Qishan Zhang

doi:10.1587/transfun.E94.A.448

Improved global motion estimation based on iterative least-squares with adaptive variable block size

Leiqi Zhu
, Dongkai Yang^*
, Qishan Zhang

^*此作品的通讯作者

电子信息工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

In order to reduce the convergence time in an iterative pro cedure, some gradient based preliminary processes are employed to elimi nate outliers. The adaptive variable block size is also introduced to balance the accuracy and computational complexity. Moreover, the use of Can berra distance instead of Euclidean distance illustrates higher performance in measuring motion similarity.

源语言	英语
页（从-至）	448-451
页数	4
期刊	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
卷	E94-A
期	1
DOI	https://doi.org/10.1587/transfun.E94.A.448
出版状态	已出版 - 1月 2011

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10.1587/transfun.E94.A.448

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title = "Improved global motion estimation based on iterative least-squares with adaptive variable block size",

abstract = "In order to reduce the convergence time in an iterative pro cedure, some gradient based preliminary processes are employed to elimi nate outliers. The adaptive variable block size is also introduced to balance the accuracy and computational complexity. Moreover, the use of Can berra distance instead of Euclidean distance illustrates higher performance in measuring motion similarity.",

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KW - Iterative least squares

KW - Preprocessing

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Improved global motion estimation based on iterative least-squares with adaptive variable block size

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