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Jerome Cody

shared a link post in group #Artificial Intelligence

University of Maryland scientists used an AI-driven method to recreate 3D scenes based on reflections in the human eye. The research builds upon Neural Radiance Fields (NeRF), an #Artificial Intelligence technology that generates 3D representations based on multiple 2D images. - By capturing high-resolution images of individuals in motion and examining the reflections in their eyes, the researchers were able to identify objects in the surrounding environment. - To remove iris artifacts from the eye images, the researchers relied on texture decomposition. - They trained a 2D texture map to learn and eliminate the iris texture present in the images. - In addition, cornea geometry was used to determine eye movements and camera angles for accurate scene reconstruction. https://petapixel.com/202..
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Scientists Can Now Reconstruct Rooms from Eye Reflections in Photos

A research team from the University of Maryland has developed an artificial intelligence-powered (AI) method to reconstruct complex scenes and objects in 3D using only the reflections in a person’s ey

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