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Generalization of three-dimensional N-ocular imaging systems under fixed resource constraints

机译:固定资源约束下三维N眼成像系统的泛化

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摘要

The performance of multiview three-dimensional imaging systems depends on several factors, including the number of sensors, sensor pixel size, relative sensor configuration, imaging optics, and computational reconstruction algorithm. Therefore, it is important to compare the performance of such systems under equally constrained resources. In this Letter, we develop a unifying framework to evaluate the lateral and axial resolution of N-ocular imaging systems ranging from stereo (two cameras) to multiple sensors (integral imaging) under fixed resource constraints. The proposed framework enables one to evaluate the system performance as a function of sensing parameters such as the number of cameras, the number of pixels, parallax, pixel size, lens aperture, and focal length. We carry out Monte Carlo simulations based on this framework to evaluate system performance as a function of sensing parameters. To the best of our knowledge, this is the first report on quantitative analysis of N-ocular imaging systems under common resource constraints.
机译:多视图三维成像系统的性能取决于几个因素,包括传感器数量、传感器像素大小、相对传感器配置、成像光学和计算重建算法。因此,在同样有限的资源下比较此类系统的性能非常重要。在这封信中,我们开发了一个统一的框架来评估固定资源限制下从立体(两个摄像头)到多个传感器(集成成像)的 N 眼成像系统的横向和轴向分辨率。所提出的框架使人们能够评估系统性能作为传感参数的函数,例如相机数量、像素数、视差、像素大小、镜头光圈和焦距。我们基于该框架进行蒙特卡罗模拟,以评估系统性能作为传感参数的函数。据我们所知,这是第一份关于在共同资源限制下对N眼成像系统进行定量分析的报告。

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