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Contribution Details
| Type | Master's Thesis |
| Scope | Discipline-based scholarship |
| Title | Generating High-Resolution Video with an Event Camera |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2021 |
| Abstract Text | Event cameras produce an asynchronous streams of events whenever there are brightness changes instead of synchronous frames occasionally, which is the output of conventional cameras. It has a high dynamic range, no motion blur. More importantly, the produced events have a high temporal resolution but a rather low spatial resolution. With the high temporal resolution, event cameras should be able to capture the sub-pixel movements required to reconstruct the original high spatial resolution signals. As a result, to deal with its low spatial resolution, we aim to solve the image reconstruction task jointly with the super resolution task. And since we are exploring the information contained in the temporal dimension, it’s natural to do a video reconstruction instead of image reconstruction so that our method can utilize information scattered throughout the temporal dimension. Compared to our approach, the existing super-resolution approaches for low-resolution events to high-resolution images are not videobased. Therefore they can only use nearby events. We show by making use of the additional temporal information, that our method can outperform the state of the art approaches and give much more stable results. We also provide an extensive evaluation to demonstrate the performance of our method. |
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