Visual Sensor with Resolution Enhancement by Mechanical Vibrations
Autonomous Robots
The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2007 courses
An Imaging Architecture Based on Derivative Estimation Sensors
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Image and Vision Computing
Computational plenoptic imaging
ACM SIGGRAPH 2012 Courses
Fun with asynchronous vision sensors and processing
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
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The resolution limit of visual sensors due to finite pixel spacing can be overcome by applying continuous low-amplitude vibrations to the image-or taking advantage of existing vibrations in the environment, for instance in a mobile robotics application. Thereby, spatial intensity gradients turn into temporal intensity fluctuations which can be detected and processed by every pixel independently from the others. This approach enhances resolution and virtually eliminates fixed-pattern noise. An integrated circuit is described which implements this visual sensing principle. It incorporates an array of 32 by 32 pixels with local temporal signal processing, and a novel non-arbitrated address-event communication scheme providing timing guarantees on external signals for easy interfacing with off-the-shelf digital components.