Camera Calibration with Baseline Distance Constraints

Lerma, José Luis; Vilanova, Santiago; Cabrelles, Miriam; Seguí, Ana Elena

doi:10.1111/j.1477-9730.2010.00579.x

Cited by 31 publications

(33 citation statements)

References 25 publications

(22 reference statements)

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“…For close range applications with non-metric digital cameras, self-calibration bundle adjustment is the most satisfactory approach. The strategy used to determine the exterior orientation parameters is presented in Lerma et al (2010a), without adding baseline distance constraints. It can be summarize in the following steps (Fig.…”

Section: Orientation and Calibration Of The Bundle Of Images Onto Thementioning

confidence: 99%

Integration of Laser Scanning and Imagery for Photorealistic 3D Architectural Documentation

Lerma¹,

Vilanova²,

Cabrelles³

et al. 2011

Laser Scanning, Theory and Applications

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Section: Orientation and Calibration Of The Bundle Of Images Onto Thementioning

confidence: 99%

Integration of Laser Scanning and Imagery for Photorealistic 3D Architectural Documentation

Lerma¹,

Vilanova²,

Cabrelles³

et al. 2011

Laser Scanning, Theory and Applications

Self Cite

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“…Both sensors were internally and externally calibrated. The calibration methods presented in Lerma et al [9] and Borrmann et al [10] were adopted and modified for this purpose. Using the results of intrinsic and extrinsic calibration, infrared thermography is registered with the laser-scanned data.…”

Section: Data Acquisitionmentioning

confidence: 99%

Detection of Internal Defects in As-Built Pipelines for Structural Health Monitoring: A Sensor Fusion Approach Using Infrared Thermography and 3D Laser-Scanned Data

Son¹,

Kim²

2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-Internal defects of pipelines are among the main factors causing accidents in the production phase of industrial plants. Periodic monitoring of a pipeline's inner surface condition is of great importance for minimizing the risk of failure of industrial plants. This study proposes a sensor fusion approach to detect internal defects automatically in as-built pipelines during their service lives to ensure structural safety. The proposed approach uses infrared thermography combined with threedimensional (3D) laser-scanned data. For this purpose, a multi-sensor system equipped with a thermal infrared camera and a 3D laser scanner was internally and externally calibrated. From the combined data set, 3D points corresponding to the as-built pipelines are extracted from laser-scanned data. Then, thermographic analysis of the corresponding thermal data of those pipelines is performed. In this step, the local thermal gradients on the pipeline's surface are calculated to detect areas having different thermal values. In addition, the global thermal gradients along the longitudinal or radial axes of the pipeline are calculated to determine the consistency of its internal thickness. The field experiment was performed at an operating petrochemical plant to validate the proposed approach. The experimental results revealed that the proposed approach has potential for detecting internal defects in as-built pipelines from infrared thermography combined with 3D laser-scanned data.

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“…There are two approaches for the single-step procedure, which differ on how the POS-derived information and the system mounting parameters are incorporated in the bundle adjustment procedure. The commonly used single-step approach is implemented by extending the conventional bundle adjustment procedure with additional observation equations for POS-assisted systems and constraints for indirectly georeferenced systems (King, 1992;El-Sheimy, 1992;Lee et al, 2008;Lerma et al, 2010;Tommaselli et al, 2013). For , where nc is the number of the involved cameras and ne is the number of epochs.…”

Section: Fig1 Some Of the Developed Multi-camera Systems: (A) Ppimsmentioning

confidence: 99%

Multi-camera System Calibration with Built-in Relative Orientation Constraints (Part 1) Theoretical Principle

Lari¹,

Habib²,

Mazaheri³

et al. 2014

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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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. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Camera Calibration with Baseline Distance Constraints

Cited by 31 publications

References 25 publications

Integration of Laser Scanning and Imagery for Photorealistic 3D Architectural Documentation

Integration of Laser Scanning and Imagery for Photorealistic 3D Architectural Documentation

Detection of Internal Defects in As-Built Pipelines for Structural Health Monitoring: A Sensor Fusion Approach Using Infrared Thermography and 3D Laser-Scanned Data

Multi-camera System Calibration with Built-in Relative Orientation Constraints (Part 1) Theoretical Principle

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