密集的三维映射使用体注册从单目视图

2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS) Pub Date : 2016-07-01 DOI:10.1109/CISIS.2016.99

Luke Lincoln, R. González

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引用次数: 0

摘要

在之前的研究中已经表明，体配准可以用于从RGBD视频数据生成密集的3D地图，与特征匹配方法相比具有各种优势。本文介绍了将该技术应用于一般单目视频数据的初步工作。这种方法不需要额外的RGB-D硬件，并生成具有类似复杂性的密集3D模型。

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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Dense 3D Mapping Using Volume Reigstration from Monocular View

In previous work it has been shown that volume registration can be used to generate dense 3D maps from RGBD video data with various advantages over feature matching approaches. This paper presents preliminary work in applying this technique to general monocular video data. This approach does not require additional RGB-D hardware and generates dense 3D models with similar complexity.

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2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)

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