3D Object Pose Estimation from Binarized Images

被引：0

作者：

Kagami, Shingo ^{[1
]}

Morita, Masaru ^{[1
]}

Hashimoto, Koichi ^{[1
]}

机构：

[1] Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi 980, Japan

来源：

2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE) | 2012年

关键词：

least square; appearance-based pose estimation; Levenberg-Marquardt method;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper discusses a 3D object pose estimation problem in which binarized images are used. Assuming that a CAD model of the object of interest is available, minimization of the difference between the captured and rendered images is considered. To make this minimization feasible in the situation where only binarized images are available, we propose to render a higher-resolution image at first and then resize it to the original size with help of an anti-alias filter. The simulated results show that the proposed method performs well as long as the given image offers sufficient clues.

引用

页码：759 / 761

页数：3

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