Name
Abstract | ||
|---|---|---|
We present a new image sensor architecture that manages spacial and temporal redundancies. This frameless image sensor only generates few events over time in order to target an efficient power consumption compared to the commercial CMOS image sensors. Indeed, this image sensor does not generate anymore frames but events only when a change appears in the scene. Moreover, the event throughput depends on the luminance variations of the recorded scene. This means that more activity in the scene will generate more events and vice versa. Collecting events over a period of time will define an image. It is noticeable that, at each instant, the generated events characterize the area of interest (the active area) of the scene. Consequently, processing such images should requires less computing energy. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/NEWCAS49341.2020.9159847 | 2020 18th IEEE International New Circuits and Systems Conference (NEWCAS) |
Keywords | DocType | ISSN |
Dynamic Vision Sensor,temporal and spacial redundancies suppression,event-based | Conference | 2472-467X |
ISBN | Citations | PageRank |
978-1-7281-7045-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Akrarai | 1 | 0 | 0.68 |
| Nils Margotat | 2 | 0 | 0.68 |
| Gilles Sicard | 3 | 62 | 14.94 |
| Laurent Fesquet | 4 | 289 | 49.04 |