Name
Abstract | ||
|---|---|---|
We introduce an approach for analyzing annotated maps of a site, together with Internet photos, to reconstruct large indoor spaces of famous tourist sites. While current 3D reconstruction algorithms often produce a set of disconnected components (3D pieces) for indoor scenes due to scene coverage or matching failures, we make use of a provided map to lay out the 3D pieces in a global coordinate system. Our approach leverages position, orientation, and shape cues extracted from the map and 3D pieces and optimizes a global objective to recover the global layout of the pieces. We introduce a novel crowd flow cue that measures how people move across the site to recover 3D geometry orientation. We show compelling results on major tourist sites. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-10578-9_1 | COMPUTER VISION - ECCV 2014, PT III |
Keywords | Field | DocType |
Indoor scene reconstruction, maps, 3D jigsaw puzzle | Computer vision,3d geometry,Computer science,Global coordinate system,Artificial intelligence,Jigsaw,The Internet,3D reconstruction | Conference |
Volume | ISSN | Citations |
8691 | 0302-9743 | 12 |
PageRank | References | Authors |
0.57 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricardo Martin-Brualla | 1 | 133 | 8.12 |
| Yanling He | 2 | 12 | 0.57 |
| Bryan C. Russell | 3 | 2570 | 217.78 |
| Steven M. Seitz | 4 | 8729 | 495.13 |