Experiments on depth from magnification and blurring

S. Ahn, Sukhan Lee, A. Meyyappan, P. Schenker
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引用次数: 6

Abstract

A new method of extracting depth from blurring and magnification of objects or local scene is presented. Assuming no active illumination, the images are taken at two camera positions of a small displacement, using a single standard camera with telecentric lens. Thus, the depth extraction method is simple in structure and efficient in computation. Fusing the two disparate sources of depth information, magnification and blurring, the proposed method provides more accurate and robust depth estimation. This paper describes the process of various experimentations performed to validate this concept and describes the present work that has been done in that field. The experimental result shows less than 1% error for an optimal depth range. The ultimate aim of this concept would be the construction of dense 3D maps of objects and real time continuous estimation of depth.
放大和模糊对深度的影响实验
提出了一种从物体或局部场景的模糊和放大中提取深度的新方法。在没有主动照明的情况下,使用一个带有远心镜头的标准相机,在两个小位移的相机位置拍摄图像。因此,深度提取方法结构简单,计算效率高。该方法融合了放大和模糊两种不同的深度信息来源,提供了更准确和鲁棒的深度估计。本文描述了为验证这一概念而进行的各种实验的过程,并描述了目前在该领域所做的工作。实验结果表明,最佳深度范围误差小于1%。这个概念的最终目的是构建密集的物体3D地图和实时连续的深度估计。
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