全光学成像中伪聚焦图像关键点检测的研究

M. Al Assaad, S. Bazeille, T. Laurain, A. Dieterlen, C. Cudel
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引用次数: 3

摘要

光场(LF)相机不仅可以提取光的强度,还可以提取场景中光线的方向,因此它比传统相机记录更多的场景信息。在本文中,我们提出了一种将关键点检测器应用于伪聚焦图像(pfi)的方法来检测原始LF图像中的关键点。这种方法的主要优点是我们不需要使用专门用于光场图像的复杂关键点探测器。我们在两个用例中说明了该方法:棋盘中角的提取和两视图原始光场图像的关键点匹配。这些关键点可用于不同的应用,例如校准,深度估计或视觉里程计。我们的实验表明,我们的方法通过在原始图像中重新投影像素来保持检测的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interest of pseudo-focused images for key-points detection in plenoptic imaging
Light-Field (LF) cameras allow the extraction not only of the intensity of light but also of the direction of light rays in the scene, hence it records much more information of the scene than a conventional camera. In this paper, we present a novel method to detect key-points in raw LF images by applying key-points detectors on Pseudo-Focused images (PFIs). The main advantage of this method is that we don’t need to use complex key-points detectors dedicated to light-field images. We illustrate the method in two use cases: the extraction of corners in a checkerboard and the key-points matching in two view raw light-field images. These key-points can be used for different applications e.g. calibration, depth estimation or visual odometry. Our experiments showed that our method preserves the accuracy of detection by re-projecting the pixels in the original raw images.
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