Automatic, fast, online calibration between depth and color cameras

被引：21

作者：

Mikhelson, Ilya V. ^{[1
]}

Lee, Philip G. ^{[1
]}

Sahakian, Alan V. ^{[1
,2
]}

Wu, Ying ^{[1
]}

Katsaggelos, Aggelos K. ^{[1
]}

机构：

[1] Northwestern Univ, Dept Elect Engn & Comp Sci, Evanston, IL 60208 USA

[2] Northwestern Univ, Dept Biomed Engn, Evanston, IL 60208 USA

来源：

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2014年 / 25卷 / 01期

关键词：

Calibration; Depth cameras; Color cameras; Automatic; Online; Fast; Point cloud; Point correspondence;

D O I：

10.1016/j.jvcir.2013.03.010

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Automatic camera calibration has remained a hard topic in computer vision since its inception due to its reliance on the image correspondence problem. This problem becomes even more pronounced when calibrating a depth image with a color image due to a lack of simple correspondences between the two modalities. In this work, we develop a completely automatic, very fast, online algorithm that demonstrates how a consumer-grade depth camera can be calibrated with a color camera with minimal user interaction. (C) 2013 Elsevier Inc. All rights reserved.

引用

页码：218 / 226

页数：9

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