Name
Abstract | ||
|---|---|---|
Social Media is a very rich source of up-to-date localized information. In recent years, image collections from photo sharing websites (e.g. Flicker) have been effectively used for 3D reconstruction of objects, buildings and even cities [?]. While 3D reconstruction techniques are highly improved in terms of accuracy, performance, and parallelism [?, ?] there are still means to utilize the up-to-date information available from public social sharing websites such as Twitter and Instagram for continuous refinement of the 3D models and information visualization. Our emphasis is on utilizing the information for detecting and refining the changes in the scene, adding new structures and visualizing saliency/popularity information in 3D (See Figure 1). |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2824840.2824860 | CVMP |
Field | DocType | Citations |
Computer vision,Social media,Information visualization,Computer graphics (images),Visual hull,Visualization,Salience (neuroscience),Computer science,Popularity,Artificial intelligence,3D modeling,3D reconstruction | Conference | 1 |
PageRank | References | Authors |
0.36 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdullah Bulbul | 1 | 76 | 11.70 |
| Rozenn Dahyot | 2 | 340 | 32.62 |