Building Rome on a Cloudless Day

This paper introduces an approach for dense 3D reconstruction from unregistered Internet-scale photo collections with about 3 million of images within the span of a day on a single PC (\cloudless"). Our method advances image clustering, stereo, stereo fusion and structure from motion to achieve high computational performance. We leverage geometric and appearance constraints to obtain a highly parallel implementation on modern graphics processors and multi-core architectures. This leads to two orders of magnitude higher performance on an order of magnitude larger dataset than competing state-of-the-art approaches.

• Type: Conference
• Year: 2010
• Where: ECCV
• Keywords: Computer Vision, Dense 3D Reconstruc-7, ECCV 2010, Magnitude Larger Dataset, Unregistered Internet-scale Photo