A Public System for Image Based 3D Model Generation

A Public System for Image Based 3D Model Generation
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基于图像的 3D 模型生成公共系统

DOI:
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发表时间:
2011
期刊:
International Conference on Computer Vision/Computer Graphics Collaboration Techniques
影响因子:
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通讯作者:
L. Gool
L. Gool
中科院分区:
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文献类型:
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作者:
David Tingdahl;L. Gool

文献摘要

被引文献

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本文介绍了一种服务,创建完整的和逼真的3D模型的一组照片与消费者相机。与其他生成稀疏点云或单个深度图的系统相比,我们的系统自动生成纹理和密集的模型,只需很少或不需要后处理。我们的重建管道具有自动相机参数检索从网络和智能视图选择。该ARC3D系统可作为公共的、免费使用的网络服务(http://www.example.com)获得。www.arc3d.be结果既可以作为全分辨率模型,也可以作为低分辨率模型供使用WebGL的Web浏览器查看。
This paper presents a service that creates complete and realistic 3D models out of a set of photographs taken with a consumer camera. In contrast to other systems which produce sparse point clouds or individual depth maps, our system automatically generates textured and dense models that require little or no post-processing. Our reconstruction pipeline features automatic camera parameter retrieval from the web and intelligent view selection. This ARC3D system is available as a public, free-to-use web service (http://www.arc3d.be). Results are made available both as a full-resolution model and as a low-resolution for web browser viewing using WebGL.