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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.