KeystoneDepth: History in 3D

Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, S. Seitz
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引用次数: 5

Abstract

This paper introduces KeystoneDepth, the largest and most diverse collection of rectified historical stereo image pairs to date, consisting of tens of thousands of stereographs of people, events, objects, and scenes recorded between 1864 and 1966. Leveraging the Keystone-Mast Collection of stereographs from the California Museum of Photography, we apply multiple processing steps to produce clean stereo image pairs, complete with calibration data, rectification transforms, and disparity maps. We introduce a novel stereo rectification technique based on the unique properties of antique stereo cameras. To better visualize the results on 2D displays, we also introduce a self-supervised deep view synthesis technique trained on historical imagery. Our dataset is available at http://keystonedepth.cs.washington.edu/.
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KeystoneDepth: 3D历史
本文介绍了KeystoneDepth,这是迄今为止最大和最多样化的校正历史立体图像对的集合,包括1864年至1966年间记录的数万人,事件,物体和场景的立体照片。利用来自加利福尼亚摄影博物馆的Keystone-Mast系列立体照片,我们应用多个处理步骤来生成干净的立体图像对,并完成校准数据,校正变换和视差图。基于古董立体相机的独特特性,提出了一种新的立体整流技术。为了在2D显示器上更好地显示结果,我们还引入了一种基于历史图像训练的自监督深度视图合成技术。我们的数据集可以在http://keystonedepth.cs.washington.edu/上找到。
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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