Optimal motion parameters and structures estimation of a rigid object from a monocular image sequence

被引：0

作者：

Ouyang, GH ^{[1
]}

Sun, JX ^{[1
]}

WAng, XH ^{[1
]}

Li, H ^{[1
]}

Zhong, S ^{[1
]}

机构：

[1] Natl Univ Def Technol, Inst Elect Engn, Changsha 410073, Hunan, Peoples R China

来源：

ULTRAHIGH- AND HIGH-SPEED PHOTOGRAPHY AND IMAGE-BASED MOTION MEASUREMENT | 1997年 / 3173卷

关键词：

3-D object recognition; motion parameters and structures estimation; monocular image sequence; motion model; imaging model; Kalman filtering;

D O I：

10.1117/12.294531

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, we propose the optimal estimation of motion parameters and structures of a three-dimensional(3-D) rigid object from a monocular image sequence. First, object motion model and camera imaging model are discussed. And then, through further analysis, the state equation and measurement equation of the object is established, an iterated extended Kalman filtering(IEKF) algorithm is adopted when the estimated system is continuous and nonlinear. The simulative numerical experiments have shown that the presented method is efficient.

引用

页码：395 / 406

页数：12