Motion estimation with object based regularisation

被引：1

作者：

Panis, S

Cosmas, JP

机构：

[1] Siemens AG, ZFE T SN 2

[2] Queen Mary and Westfield College, Electronic Engineering Department, London E1 4NS, Mile End Road

来源：

ELECTRONICS LETTERS | 1996年 / 32卷 / 10期

关键词：

motion estimation; dynamic programming;

D O I：

10.1049/el:19960598

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A dynamic programming based matching method fur motion estimation that optimists a Bayesian maximum likelihood function in a 3-D optimisation space, is presented. The Bayesian function consists of a matching cost and an object based 2-D regularisation cost. The method gives results more accurate than block-based matching since the motion boundaries are close to the actual object boundaries.

引用

页码：872 / 873

页数：2

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