Human faces detection and localization with simulated prosthetic vision
Year: 2013
Type: conference-paper
Abstract: Clinical trials reveal that current visual neuroprosthesis are not yet usable. The main reason is the small number of implanted electrodes, leading to a very poor visual resolution. The resolution is especially not sufficient to detect specific objects (faces, signs, etc.) in the surroundings. We used simulated prosthetic vision (SPV) to show that pre-processing of the camera image could restore these functions, even with low-resolution implants. Specifically, we showed that it is possible to quickly detect and localize human faces located nearby. We suggest that high-level processing of the video stream may be included in current visual neuroprosthesis. This would restore many visuomotor behaviors such as grasping, heading, steering, etc.
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2026207754
