Live Demonstration: Frame Differencing Event Vision Sensor With Lateral Overflow Capacitor for Dynamic Range Extension
The demo will show a prototype of an event camera. Event cameras are a type of camera that responds only to changes in the scene[1]. Their pixels independently and locally detect changes in the scene and output events. Events are information packages that contain the timestamp of the package, their position in the array, and the polarity of the change. The demonstrated sensor generates events by subtracting sequential frames and later thresholding the result[3]. Also, it aims to extend the dynamic range by installing a lateral overflow capacitor to extend the dynamic range[2]. The sensor has the capability of outputting both raw images and events. Fig. 1 a) shows the raw image output and event output. Fig. 1 b) shows the experimental setup. The prototype is capable of outputting 1000 event frames per second and has an array of 64x64 pixels.
keywords: Event vision, dynamic range, CMOS, frame-differencing
Publication: Congress
1762257609452
November 4, 2025
/research/publications/live-demonstration-frame-differencing-event-vision-sensor-with-lateral-overflow-capacitor-for-dynamic-range-extension
The demo will show a prototype of an event camera. Event cameras are a type of camera that responds only to changes in the scene[1]. Their pixels independently and locally detect changes in the scene and output events. Events are information packages that contain the timestamp of the package, their position in the array, and the polarity of the change. The demonstrated sensor generates events by subtracting sequential frames and later thresholding the result[3]. Also, it aims to extend the dynamic range by installing a lateral overflow capacitor to extend the dynamic range[2]. The sensor has the capability of outputting both raw images and events. Fig. 1 a) shows the raw image output and event output. Fig. 1 b) shows the experimental setup. The prototype is capable of outputting 1000 event frames per second and has an array of 64x64 pixels. - Marko Jaklin, D. García-Lesta, P. López, V.M. Brea
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