Utility and Feasibility of a Center Surround Event Camera

02/26/2022
by   Tobi Delbruck, et al.
0

Standard dynamic vision sensor (DVS) event cameras output a stream of spatially-independent log-intensity brightness change events so they cannot suppress spatial redundancy. Nearly all biological retinas use an antagonistic center-surround organization. This paper proposes a practical method of implementing a compact, energy-efficient Center Surround DVS (CSDVS) with a surround smoothing network that uses compact polysilicon resistors for lateral resistance. The paper includes behavioral simulation results for the CSDVS (see sites.google.com/view/csdvs/home). The CSDVS would significantly reduce events caused by low spatial frequencies, but amplify the informative high frequency spatiotemporal events.

READ FULL TEXT
research
10/29/2020

Asynchronous Corner Tracking Algorithm based on Lifetime of Events for DAVIS Cameras

Event cameras, i.e., the Dynamic and Active-pixel Vision Sensor (DAVIS) ...
research
06/13/2020

V2E: From video frames to realistic DVS event camera streams

To help meet the increasing need for dynamic vision sensor (DVS) event c...
research
02/14/2020

Kinetic Geodesic Voronoi Diagrams in a Simple Polygon

We study the geodesic Voronoi diagram of a set S of n linearly moving si...
research
10/07/2015

Event-based Camera Pose Tracking using a Generative Event Model

Event-based vision sensors mimic the operation of biological retina and ...
research
10/09/2018

Evaluating the Effectiveness of Health Awareness Events by Google Search Frequency

Over two hundreds health awareness events take place in the United State...
research
09/13/2023

Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision

Early detection and tracking of ejecta in the vicinity of small solar sy...
research
05/10/2018

ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors

Dynamic Vision Sensors (DVS), which output asynchronous log intensity ch...

Please sign up or login with your details

Forgot password? Click here to reset