On-the-fly extrinsic calibration of multimodal sensing system for fast 3D thermographic scanning

Xu, Baobei; Ye, Zhangyu; Wang, Fan; Yang, Jiangxin; Cao, Yanan; Tisse, Christel-Loïc; Li, Xin

doi:10.1364/ao.58.003238

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…For this purpose, the IR camera poses estimated in the previous step are refined with an optimization procedure inspired by previous studies. [13][14][15] (Figure 4 shows an overview of the IR camera pose refinement) To ensure consistency in thermal information across different views, refinement of IR camera poses is necessary due to errors in the initial estimation of camera pose obtained through SfM results. The IR camera poses refinement involves selecting a reference IR view, which is the frontal thermal view with the largest distance from the object of interest, and adjusting the poses of other cameras according to the thermal 3D model created with the reference view.…”

Section: Thermal 3d Modelsmentioning

confidence: 99%

Registration of thermal 3D models over time using low cost and portable devices

Gutierrez

Castaneda

Treuillet

2023

Sixteenth International Conference on Quality Control by Artificial Vision

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Thermography is a highly beneficial non-invasive and non-contact tool that finds applications in various fields, such as building inspection, industrial equipment monitoring, quality control, and medical evaluations. Analyzing the surface temperature of an object at different points in time, and under varying conditions, can help detect defects, cracks, and anomalies in industry components. In this study, we propose a framework for reproducible and quantitative measurement of surface temperature changes over time using thermal 3D models created with low-cost and portable devices. We present the application of this framework in two cases: to analyze temperature changes over time in a plastic container and to analyze temperature changes before and after medical treatment of a chronic wound. The results on a plastic container and on a chronic wound, show that our approach for multi-temporal registration of thermal 3D models could be a cost-effective and practical solution for studying temperature changes in various applications.

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Section: Thermal 3d Modelsmentioning

confidence: 99%

Registration of thermal 3D models over time using low cost and portable devices

Gutierrez

Castaneda

Treuillet

2023

Sixteenth International Conference on Quality Control by Artificial Vision

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“…Although large wounds or multiple wounds in the same area require more than just a single view for a better analysis, most previous work has used single-view static cameras. Thus, an interesting alternative is the use of portable thermal devices [18,19]. Moghadam presents a new device that allows to put three devices together: a thermal camera, a light projector, and a depth camera [18].…”

Section: Introductionmentioning

confidence: 99%

“…Moghadam presents a new device that allows to put three devices together: a thermal camera, a light projector, and a depth camera [18]. On the other hand, Xu et al propose a calibration between portable thermal cameras and depth imaging [19]. Both alternatives are quite interesting as they can be used in handheld mode, but require the use of non-commercially available devices which could be expensive or difficult to obtain, especially in hospitals in remote locations.…”

Section: Introductionmentioning

confidence: 99%

Multimodal and Multiview Wound Monitoring with Mobile Devices

et al. 2021

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Along with geometric and color indicators, thermography is another valuable source of information for wound monitoring. The interaction of geometry with thermography can provide predictive indicators of wound evolution; however, existing processes are focused on the use of high-cost devices with a static configuration, which restricts the scanning of large surfaces. In this study, we propose the use of commercial devices, such as mobile devices and portable thermography, to integrate information from different wavelengths onto the surface of a 3D model. A handheld acquisition is proposed in which color images are used to create a 3D model by using Structure from Motion (SfM), and thermography is incorporated into the 3D surface through a pose estimation refinement based on optimizing the temperature correlation between multiple views. Thermal and color 3D models were successfully created for six patients with multiple views from a low-cost commercial device. The results show the successful application of the proposed methodology where thermal mapping on 3D models is not limited in the scanning area and can provide consistent information between multiple thermal camera views. Further work will focus on studying the quantitative metrics obtained by the multi-view 3D models created with the proposed methodology.

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