TechXplore: Rendering three-dimensional images from eye reflections with NeRF

TechXplore: Rendering three-dimensional images from eye reflections with NeRF. “Vision depends on light entering the eyes through the transparent tissues of the cornea, pupil and lens. When the light reaches the retina, photoreceptors produce signals and transmit them via the optical nerve to the brain, where an image is formed. Some of that light entering the eye is reflected back into the world by a highly reflective thin film of fluid covering the cornea. Researchers at the University of Maryland were able to capture this reflected light and extract a three-dimensional model of the surroundings.”

University at Buffalo: How to spot deepfakes? Look at light reflection in the eyes

University at Buffalo: How to spot deepfakes? Look at light reflection in the eyes. “University at Buffalo computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes. The tool proved 94% effective with portrait-like photos in experiments described in a paper accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing to be held in June in Toronto, Canada.”

Cornell Chronicle: Research reflects how AI sees through the looking glass

Cornell Chronicle: Research reflects how AI sees through the looking glass. “Things are different on the other side of the mirror. Text is backward. Clocks run counterclockwise. Cars drive on the wrong side of the road. Right hands become left hands. Intrigued by how reflection changes images in subtle and not-so-subtle ways, a team of Cornell researchers used artificial intelligence to investigate what sets originals apart from their reflections. Their algorithms learned to pick up on unexpected clues such as hair parts, gaze direction and, surprisingly, beards – findings with implications for training machine learning models and detecting faked images.”