期刊
PROCEEDINGS OF THE IEEE
卷 98, 期 8, 页码 1370-1390出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2010.2049330
关键词
Internet photo collections; multiview stereo; scene summarization; structure from motion; 3-D navigation and visualization; 3-D reconstruction
资金
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [0811878] Funding Source: National Science Foundation
There are billions of photographs on the Internet, representing an extremely large, rich, and nearly comprehensive visual record of virtually every famous place on Earth. Unfortunately, these massive community photo collections are almost completely unstructured, making it very difficult to use them for applications such as the virtual exploration of our world. Over the past several years, advances in computer vision have made it possible to automatically reconstruct 3-D geometry-including camera positions and scene models-from these large, diverse photo collections. Once the geometry is known, we can recover higher level information from the spatial distribution of photos, such as the most common viewpoints and paths through the scene. This paper reviews recent progress on these challenging computer vision problems, and describes how we can use the recovered structure to turn community photo collections into immersive, interactive 3-D experiences.
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