Human-Inspired Camera: A Novel Camera System for Computer Vision
Shubham Kumar, Jonathan Mi, Qingyuan Zhang, Benjamin Chang, Hao Le, Ramsin Khoshabeh, Truong Q. Nguyen · 2021
Computer vision models aim to emulate biological design so that systems can perform meaningful tasks. We believe that the underlying processes of the human visual system hold the keys to further improving the performance of such computer vision solutions. This exploratory paper investigates the swaying motion of human vision when walking to develop a novel camera system. We successfully demonstrate that this design is able to improve performance in computer vision tasks, such as monocular depth estimation.