Tetsu Ishizue

Illusion of Depth: Revealing Hidden Stereo Vision Vulnerabilities in Depth Estimation

This work reveals an intrinsic vulnerability in stereo cameras that stems from their pixel sampling and calibration processes, which can influence the outputs of stereo matching algorithms and proposes a novel strategy that leverages similarity scores to dynamically detect and suppress the depth discrepancies.