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Multi-camera System Calibration with Built-in Relative Orientation Constraints (Part 1) Theoretical Principle
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  • Multi-camera System Calibration with Built-in Relative Orientation Constraints (Part 1) Theoretical Principle
  • Multi-camera System Calibration with Built-in Relative Orientation Constraints (Part 1) Theoretical Principle
저자명
Lari. Zahra,Habib. Ayman,Mazaheri. Mehdi,Al-Durgham. Kaleel
간행물명
한국측량학회지
권/호정보
2014년|32권 3호|pp.191-204 (14 pages)
발행정보
한국측량학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In recent years, multi-camera systems have been recognized as an affordable alternative for the collection of 3D spatial data from physical surfaces. The collected data can be applied for different mapping(e.g., mobile mapping and mapping inaccessible locations)or metrology applications (e.g., industrial, biomedical, and architectural). In order to fully exploit the potential accuracy of these systems and ensure successful manipulation of the involved cameras, a careful system calibration should be performed prior to the data collection procedure. The calibration of a multi-camera system is accomplished when the individual cameras are calibrated and the geometric relationships among the different system components are defined. In this paper, a new single-step approach is introduced for the calibration of a multi-camera system (i.e., individual camera calibration and estimation of the lever-arm and boresight angles among the system components). In this approach, one of the cameras is set as the reference camera and the system mounting parameters are defined relative to that reference camera. The proposed approach is easy to implement and computationally efficient. The major advantage of this method, when compared to available multi-camera system calibration approaches, is the flexibility of being applied for either directly or indirectly geo-referenced multi-camera systems. The feasibility of the proposed approach is verified through experimental results using real data collected by a newly-developed indirectly geo-referenced multi-camera system.