Building Rome on a Cloudless Day
Abstract¶
This paper introduces an approach for dense 3D reconstruction from unregistered Internet-scale photo collections with about 3 million 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.
Summary¶
Presents a scalable dense reconstruction pipeline for massive unregistered Internet photo collections, emphasizing clustering, stereo, stereo fusion, structure from motion, and commodity parallel hardware. It complements distributed city-scale SfM work by showing that very large photo collections could be processed on a single high-performance PC.