At Ben-Gurion University of the Negev (BGU) in Israel, researchers have developed a new imaging software that could help improve facial recognition systems and augmented reality (AR) apps on smartphones.
The technique, dubbed Light Invariant Video Imaging (LIVI), improves the clarity of pictures in low-light situations and makes objects more easily recognizable.
The software uses amplitude-modulated (AM) light separation to remove the distorting effects of background lighting and dynamic lighting, enabling images to be presented without shadows, with better contrast, and with stronger color.
BGU's Amir Kolaman says the system will filter out backlight out for each individual pixel by turning each pixel into an "AM receiver" that tunes itself to the light of a flash.
The new technique could lead to clearer images on smartphone apps, which could improve facial recognition for authentication, as well as improving the quality of AR applications that mix virtual images with actual images.
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