2019 28th Wireless and Optical Communications Conference (WOCC) 2019
DOI: 10.1109/wocc.2019.8770661
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Real-time Sound Detection and Regeneration Based on Optical Flow Algorithm of Laser Speckle Images

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Cited by 6 publications
(5 citation statements)
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“…Regarding speech reconstruction algorithm, researchers have proposed a variety of methods, including digital image correlation (DIC) [ 19 , 20 , 21 , 22 , 23 , 24 ], optical flow method [ 16 , 25 , 26 ], and intensity method [ 27 , 28 ]. Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Regarding speech reconstruction algorithm, researchers have proposed a variety of methods, including digital image correlation (DIC) [ 19 , 20 , 21 , 22 , 23 , 24 ], optical flow method [ 16 , 25 , 26 ], and intensity method [ 27 , 28 ]. Ref.…”
Section: Introductionmentioning
confidence: 99%
“…As a first attempt of non-contact accelerometer implementation based on the laser speckle optical flow detection, the Viaxl presented in this paper can be improved in terms of bandwidth and accuracy through the hardware upgrades, such as using a camera with a high processing speed and frame rate [ 16 ]. On the other hand, improving the core algorithm of optical flow detection, such as in the waveform reconstruction of the time domain and estimation of moving direction, which have been preliminarily verified in [ 13 , 19 ], will greatly expand the application possibilities of the Viaxl system.…”
Section: Discussionmentioning
confidence: 99%
“…Viaxl uses a normal commercial camera to capture the laser speckle reflected by the moving object and calculate the ego-motion information between two adjacent frames of speckle through the optical flow algorithm, and then completes a real-time acceleration calculation. Due to the difficulty of acquiring the feature points in a speckle ( Figure 1 ), Farneback optical flow—one of the most widely used dense optical flow algorithms—is used to estimate the displacement of the speckle [ 16 ]. The core idea of the Farneback algorithm is to estimate the polynomial approximation of speckle images using the neighborhood domain information of each pixel [ 17 ].…”
Section: System Prototypementioning
confidence: 99%
“…The shift of the speckle pattern is proportional to the amount of camera defocus (i.e. L1 L2 ) [28]. Video recordings of the laser speckle pattern were processed by a motion extraction algorithm to obtain heartbeat signals.…”
Section: A Sv and Motion Extractionmentioning
confidence: 99%