Advances in computational stereo
Advances in computational stereo
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DOI：
10.1109/tpami.2003.1217603
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发表时间：
2003-08-01
影响因子：
23.6
通讯作者：
Hager, GD
中科院分区：
文献类型：
--
作者：
Brown, MZ;Burschka, D;Hager, GD
从立体图像中提取场景的三维结构是计算机视觉界研究了几十年的问题。早期的工作集中在图像对应和立体几何的基础上。立体声的研究已经成熟显着多年来和许多进步计算立体声继续作出，使立体声应用于新的和更苛刻的问题。在本文中，我们回顾了计算立体的最新进展，主要集中在三个重要的主题：对应的方法，遮挡的方法，和实时实现。在整个过程中，我们提供了总结和区分关键思想和方法的表格。在可行的情况下，我们提供比较分析，并对尚待进行的分析提出建议。
Extraction of three-dimensional structure of a scene from stereo images is a problem that has been studied by the computer vision community for decades. Early work focused on the fundamentals of image correspondence and stereo geometry. Stereo research has matured significantly throughout the years and many advances in computational stereo continue to be made, allowing stereo to be applied to new and more demanding problems. In this paper, we review recent advances in computational stereo, focusing primarily on three important topics: correspondence methods, methods for occlusion, and real-time implementations. Throughout, we present tables that summarize and draw distinctions among key ideas and approaches. Where available, we provide comparative analyses and we make suggestions for analyses yet to be done.