3D depth information extraction with omni-directional camera

被引：14

作者：

Jia, Tong ^{[1
]}

Shi, Yan ^{[2
]}

Zhou, ZhongXuan ^{[1
]}

Chen, DongYue ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China

[2] Michigan State Univ, Robot & Automat Lab, E Lansing, MI 48824 USA

来源：

INFORMATION PROCESSING LETTERS | 2015年 / 115卷 / 02期

关键词：

Depth measurement; Omni-directional image; Structured light; Infrared laser; Real-time systems;

D O I：

10.1016/j.ipl.2014.09.029

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a novel 3D depth information extraction method without calibration. Firstly, this paper develops an omni-directional 3D camera system, which consists of a CCD camera, hyperbolic mirror, infrared laser diodes and diffractive of element (DOE). Secondly, a depth measurement model is proposed to obtain the 3D depth information. Finally, in order to calculate the speckle shift accurately between the reference image and the object image, a dot matrix pattern and sequence coding algorithm are designed to find the corresponding speckles in the two images. Experimental results show that the reconstructed depth data have a good correlation with the actual distance. The accuracy of the data is also found to be influenced by the distance between the object and the camera. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：285 / 291

页数：7

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