Simulation of microlens array based plenoptic capture utilizing densely sampled light field

U. Akpinar, E. Sahin, A. Gotchev
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引用次数: 2

Abstract

Plenoptic cameras can capture the light field of a 3D scene in a single shot, which makes them attractive for several applications, such as depth estimation and refocusing. The difficulties in accurate calibration of available plenoptic camera designs, however, makes it also difficult to reliably assess such applications. This arises a need to have a ground-truth plenoptic data. We propose an accurate and efficient way to simulate the defocused plenoptic camera based on the geometric optics principles and the concept of densely sampled light field. In particular, we utilize the open-source computer graphics rendering software tool Blender and rely on a set of conventional 2D pinhole images of the scene captured from several viewpoints within the aperture of the main lens of the plenoptic camera. Elemental-image wise examination of plenoptic data and testing of post processing algorithms verifies the accuracy of the simulation.
基于密集采样光场的微透镜阵列全光捕获模拟
全光相机可以在一次拍摄中捕捉3D场景的光场,这使得它们在深度估计和重新对焦等多种应用中具有吸引力。然而,在精确校准现有全光学相机设计方面的困难,也使得可靠地评估此类应用变得困难。这就产生了一种需要,需要有一个基本真实的全面数据。基于几何光学原理和密集采样光场的概念,提出了一种精确、高效的离焦全光相机模拟方法。特别是,我们利用开源的计算机图形渲染软件工具Blender,并依赖于一组传统的2D针孔图像,这些图像是从全光相机主镜头光圈内的几个视点捕获的。通过对全光数据的元像检测和后处理算法的测试,验证了仿真的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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