Temperature field reconstruction of 3D luminous flames based on light field tomography theory

Niu, Zhi-Tian; Qi, Hong; Shi, Jingwen; Zhang, Ju-Qi; Ren, Ya-Tao

doi:10.1007/s11431-019-1573-y

Cited by 21 publications

(1 citation statement)

References 24 publications

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“…Finally, as the application fields of light field cameras increase, reconstruction algorithms adapted to different measurement objects will also be studied and proposed one after another. For example, the light field flame temperature field reconstruction method based on optical tomography [ 83 ] and the light field particle image velocimetry (PIV) tomography reconstruction technique based on the sense-ray-tracing-reconstruction technique [ 84 ], etc., are combined with the actual measurement objects, and new reconstruction algorithms are proposed.…”

Section: Reconstruction Algorithms Of the Light Field Cameramentioning

confidence: 99%

Measurement Technologies of Light Field Camera: An Overview

Hu,

Li,

Miao

et al. 2023

Sensors

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Visual measurement methods are extensively used in various fields, such as aerospace, biomedicine, agricultural production, and social life, owing to their advantages of high speed, high accuracy, and non-contact. However, traditional camera-based measurement systems, relying on the pinhole imaging model, face challenges in achieving three-dimensional measurements using a single camera by one shot. Moreover, traditional visual systems struggle to meet the requirements of high precision, efficiency, and compact size simultaneously. With the development of light field theory, the light field camera has garnered significant attention as a novel measurement method. Due to its special structure, the light field camera enables high-precision three-dimensional measurements with a single camera through only one shot. This paper presents a comprehensive overview of light field camera measurement technologies, including the imaging principles, calibration methods, reconstruction algorithms, and measurement applications. Additionally, we explored future research directions and the potential application prospects of the light field camera.

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Section: Reconstruction Algorithms Of the Light Field Cameramentioning

confidence: 99%