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On-line Free-viewpoint Video:From Single to Multiple View Rendering

International Journal of Automation and computing 2008年第3期5卷 257-267页

作者： vincent nozick.hideo saito Graduate School of Science and Technology Keio University

In recent years, many image-based rendering techniques have advanced from static to dynamic scenes and thus become video-based rendering （VBR） methods. But actually, only a few of them can render new views on-line. We present a new VBR system that creates new views of a live dynamic scene. This system provides high quality images and does not require any background subtraction. Our method follows a plane-sweep approach and reaches real-time rendering using consumer graphic hardware, graphics processing unit （GPU）. Only one computer is used for both acquisition and rendering. The video stream acquisition is performed by at least 3 webcams. We propose an additional video stream management that extends the number of webcams to 10 or more. These considerations make our system low-cost and hence accessible for everyone. We also present an adaptation of our plane-sweep method to create simultaneously multiple views of the scene in real-time. Our system is especially designed for stereovision using autostereoscopic displays. The new views are computed from 4 webcams connected to a computer and are compressed in order to be transfered to a mobile phone. Using GPU programming, our method provides up to 16 images of the scene in real-time. The use of both GPU and CPU makes this method work on only one consumer grade computer.

关键词： Video-based rendering (VBR) free-viewpoint video view interpolation graphics processing unit (GPU) webcam stereovision autostereoscopic.

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FusionMLS:Highly dynamic 3D reconstruction with consumergrade RGB-D cameras

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Computational Visual Media 2018年第4期4卷 287-303页

作者： Siim Meerits Diego Thomas vincent nozick.hideo saito Department of Information and Computer Science Keio University Department of Advanced Information Technology Kyushu University LIGM UMR 8049Universit'e Paris-Est Marne-la-Vall'ee Japanese–French Laboratory for Informatics CNRS

Multi-view dynamic three-dimensional reconstruction has typically required the use of custom shutter-synchronized camera rigs in order to capture scenes containing rapid movements or complex topology changes. In this paper, we demonstrate that multiple unsynchronized low-cost RGB-D cameras can be used for the same purpose. To alleviate issues caused by unsynchronized shutters, we propose a novel depth frame interpolation technique that allows synchronized data capture from highly dynamic 3 D scenes. To manage the resulting huge number of input depth images, we also introduce an efficient moving least squares-based volumetric reconstruction method that generates triangle meshes of the scene. Our approach does not store the reconstruction volume in memory,making it memory-efficient and scalable to large *** implementation is completely GPU based and works in real time. The results shown herein, obtained with real data, demonstrate the effectiveness of our proposed method and its advantages compared to stateof-the-art approaches.

关键词： 3D reconstruction RGB-D cameras motion capture GPU

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