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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Si Chen Muyuan Li Kui Ren |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA (Si Chen; Muyuan Li; Kui Ren) |
| Abstract | Remarkable progress was made with smartphones in the last few years. Modern smartphones are now equipped with high-resolution cameras and various micro-electrical sensors that open up new mobile application possibilities. In this work, we address a critical task of reconstruct indoor large-scale 3D model from crowd-sourced images. We propose, design, and implement IndoorCrowd, a smartphone empowered crowdsourcing system for large-scale indoor 3D scene reconstruction. IndoorCrowd fills a gap in current cloud-based 3D reconstruction systems as it ensures at mobile side that the captured image set fulfills desired quality for indoor large-scene 3D reconstruction. At the cloud side, we deploy an automated image-based 3D reconstruction pipeline, which generates 3D models from images and sensor data. Moreover, we provide an intuitive online annotation tool that allows easy image labeling. We present that these labeling information combined with sensor data helps IndoorCrowd reduce the total processing time greatly. |
| Starting Page | 217 |
| Ending Page | 218 |
| File Size | 236602 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479930883 |
| DOI | 10.1109/INFCOMW.2014.6849233 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Crowdsourcing Solid modeling Three-dimensional displays 3D reconstruction crowdsourcing Indoor 3D map Pipelines Indoor environments Image reconstruction Smart phones |
| Content Type | Text |
| Resource Type | Article |
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