Assessment of autostereoscopic perception using artificial intelligence-enhanced face tracking technology
by Bo Yu, Lu Liu, Ning Yang, Lingzhi Zhao, Huang Wu
PurposeStereopsis, the ability of humans to perceive depth through distinct visual stimuli in each eye, is foundational to autostereoscopic technology in computing. However, ensuring stable head position during assessments has been challenging. This study evaluated the utility of artificial intelligence (AI)-enhanced face tracking technology in overcoming this challenge by ensuring that each eye consistently receives its intended image. Читать дальше...