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
收藏
页码：872 / 873
页数：2
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