Principles of self-calibration and visual effects for digital camera distortion

Author:

Durgut Temel1,Maraş Erdem Emin2

Affiliation:

1. Geomatics Engineering, Ondokuz Mayıs University , Samsun , Turkey

2. School of Civil Aviation, Samsun University , Samsun , Turkey

Abstract

Abstract Producing accurate spatial data with stereo photogrammetric techniques is a challenging task, and the central projection of the space needs to be defined as closely as possible to its real form in each image taken for the relevant production. Interior camera parameters that define the exact imaging geometry of the camera and the exterior orientation parameters that locate and rotate the imaging directions in a coordinate system have to be known accurately for this correct definition. All distortions sourcing from lens and sensor planes and their recording geometry are significant as they are not suitable for detection with manual measurements. It is of vital importance to clearly understand the camera self-calibration concept with respect to the lens and the sensor plane geometry and include every possible distortion source as an unknown parameter in the calibration adjustments as they are all modellable systematic errors. In this study, possible distortion sources and self-calibration adjustments are explained in detail with a recently developed visualization software. The distortion sources investigated in the study are radial, tangential, differential scale, and axial skewing distortion. Thanks to the developed software, image center point, distorted grids, undistorted grids, and principal points were visualized. As a result, the most important element of obtaining accurate and precise photogrammetric productions is the correct definition of the central projection of the space for each image, and therefore, the study explains an accurate and robust procedure with the correct definition and use of correct camera internal parameters.

Publisher

Walter de Gruyter GmbH

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Reference50 articles.

1. Brown DC. Close-range camera calibration. Photogramm Eng. 1971;37(8):855–66.

2. Faig W. Calibration of close-range photogrammetric systems: Mathematical formulation. Photogramm Eng Remote Sensing. 1975;41(12):1479–86.

3. Remondino F, Fraser C. Digital camera calibration methods: Considerations and comparisons. ISPRS Comm V Symp’Image Eng Vis Metrol. 2006;36(5):266–72.

4. Wu B, Hu H, Zhu Q, Zhang Y. A flexible method for zoom lens calibration and modeling using a planar checkerboard. Photogramm Eng Remote Sensing. 2013;79(6):555–71.

5. Weng J, Cohen P, Herniou M. Camera calibration with distortion models and accuracy evaluation. IEEE Trans Pattern Anal Mach Intell. 1992;14(1):965–80.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3