Litcius/Paper detail

Dual-Shutter Optical Vibration Sensing

Mark Sheinin, Dorian Chan, Matthew O’Toole, Srinivasa G. Narasimhan

20222022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)21 citationsDOI

Abstract

Visual vibrometry is a highly useful tool for remote capture of audio, as well as the physical properties of materials, human heart rate, and more. While visually-observable vibrations can be captured directly with a high-speed camera, minute imperceptible object vibrations can be optically amplified by imaging the displacement of a speckle pattern, created by shining a laser beam on the vibrating surface. In this paper, we propose a novel method for sensing vibrations at high speeds (up to 63kHz), for multiple scene sources at once, using sensors rated for only 130Hz operation. Our method relies on simultaneously capturing the scene with two cameras equipped with rolling and global shutter sensors, respectively. The rolling shutter camera captures distorted speckle images that encode the high-speed object vibrations. The global shutter camera captures undistorted reference images of the speckle pattern, helping to decode the source vibrations. We demonstrate our method by capturing vibration caused by audio sources (e.g. speakers, human voice, and musical instruments) and analyzing the vibration modes of a tuning fork.

Topics & Concepts

ShutterRolling shutterVibrationSpeckle patternComputer scienceComputer visionArtificial intelligenceDisplacement (psychology)Frame rateAcousticsOpticsPhysicsPsychotherapistPsychologySpeech and Audio ProcessingIndoor and Outdoor Localization TechnologiesAdvanced Optical Sensing Technologies