Multi-camera system on a single raspberry PI
| dc.contributor.author | Tay, Ying Sheng | |
| dc.date.accessioned | 2021-03-01T02:43:58Z | |
| dc.date.available | 2021-03-01T02:43:58Z | |
| dc.date.issued | 2019-06 | |
| dc.description.abstract | Multi-camera system has been widely used in many applications such as multicamera vehicle, smart phone with dual camera and Multi-Target Multi-Camera Tracking (MTMCT) system. In this project, the main purpose of developing multi-camera system is to perform super-resolution. Super-resolution consists of processing an image or a set of images in order to enhance the resolution of a video sequence or a single frame. There are several methods to apply super-resolution, from which fusion super-resolution techniques are considered to be the most adequate for real-time implementation. In fusion, super-resolution and high-resolution images are constructed from several observed lowresolution images. In this project, a super-resolution algorithm is proposed based on an imaging model that includes camera response function and distortion error in addition to spatial blurring and sampling. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/11604 | |
| dc.language.iso | en | en_US |
| dc.title | Multi-camera system on a single raspberry PI | en_US |
| dc.type | Other | en_US |
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