Reconstruction of three-dimensional objects using video sequences

E. Ramos, V. Ponomaryov
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Abstract

It has been demonstrated that it is possible to reconstruct 3D video sequences using depth information. Novel framework can be realized in all formats in video sequences because it does not depend on a specific hardware usually needed in existed techniques for depth map calculations. Proposed technique is applicable in other methods of 3D perception, such as polarized lens, etc. The applications of the proposed method can be useful in areas: real time 3D remote sensing, robot navigation, or 3D medical visual demonstrations.
利用视频序列重建三维物体
研究表明,利用深度信息重建三维视频序列是可行的。新的框架可以在所有格式的视频序列中实现,因为它不依赖于现有技术中通常需要的特定硬件来进行深度图计算。该技术也适用于其他三维感知方法,如偏振透镜等。该方法可应用于实时三维遥感、机器人导航或三维医学视觉演示等领域。
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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