A new jump edge detection method for 3D cameras

A. Lejeune, S. Piérard, Marc Van Droogenbroeck, J. Verly
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引用次数: 19

Abstract

Edges are a fundamental clue for analyzing, interpreting, and understanding 3D scenes: they describe objects boundaries. Available edge detection methods are not suited for 3D cameras such as the Microsoft Kinect or a time-of-flight camera: they are slow and do not take into consideration the characteristics of the cameras. In this paper, we present a fast jump edge detection technique for 3D cameras based on the principles of Canny's edge detector. We first analyze the characteristics of the range signal for two different kinds of cameras: a time-of-flight camera (the PMD[vision] CamCube) and the Microsoft Kinect. From this analysis, we define appropriate operators and thresholds to perform the edge detection. Then, we present some results of the developed algorithms for both cameras.
一种新的三维摄像机跳跃边缘检测方法
边缘是分析、解释和理解3D场景的基本线索:它们描述对象的边界。现有的边缘检测方法不适合3D相机,如微软Kinect或飞行时间相机:它们很慢,没有考虑到相机的特性。本文基于Canny边缘检测器的原理,提出了一种用于三维摄像机的快速跳跃边缘检测技术。我们首先分析了两种不同类型相机的距离信号特征:一种是飞行时间相机(PMD[vision] CamCube),另一种是微软Kinect。从这个分析中,我们定义了适当的算子和阈值来执行边缘检测。然后,我们给出了两种相机的算法的一些结果。
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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