Estimating 3D Scene Flow from Multiple 2D Optical Flows

J. Ruttle, M. Manzke, Rozenn Dahyot
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引用次数: 8

Abstract

Scene flow is the motion of the surface points in the 3D world. For a camera, it is seen as a 2D optical flow in the image plane. Knowing the scene flow can be very useful as it gives an idea of the surface geometry of the objects in the scene and how those objects are moving. Four methods for calculating the scene flow given multiple optical flows have been explored and detailed in this paper along with the basic mathematics surrounding multi-view geometry. It was found that given multiple optical flows it is possible to estimate the scene flow to different levels of detail depending on the level of prior information present.
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从多个2D光流估计3D场景流
场景流是三维世界中表面点的运动。对于相机来说,它被看作是成像平面上的二维光流。了解场景流是非常有用的,因为它可以让你了解场景中物体的表面几何形状以及这些物体是如何移动的。本文结合多视点几何的基本数学原理,探讨了多视点几何条件下的四种场景流计算方法。研究发现,给定多个光流,可以根据存在的先验信息的水平估计场景流到不同的细节水平。
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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