Paper
29 February 2008 Adaptive optical flow detection using correlation image sensor and frequency-tuned complex-sinusoidal reference signals
D. Wei, P. Masurel, T. Kurihara, S. Ando
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Abstract
The optical flow computation has been widely studied motivated by a broad range of applications. We proposed a solution base on optical identity (OFI) using Correlation image sensor (CIS). If the frequency of the CIS' reference signals is ill-chosen, the SNR of the amplitude of the complex correlation image is small, and it is difficult to solve OFI stably. When we choose the frequency of the sinusoidal reference signals "w" satisfies "wT=2n Pi" the optical flow identity (OFI) holds, where "n" is an integer, "T" is the frame time of the CIS, and "Pi" is the circle ratio. We define "G(w)" satisfying "wT=2nPi" by the sum of the amplitude of the complex sinusoidally modulated image over all pixels, and maximize it to give a solution of the frequency-tuned problem.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Wei, P. Masurel, T. Kurihara, and S. Ando "Adaptive optical flow detection using correlation image sensor and frequency-tuned complex-sinusoidal reference signals", Proc. SPIE 6816, Sensors, Cameras, and Systems for Industrial/Scientific Applications IX, 68160M (29 February 2008); https://doi.org/10.1117/12.767141
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Cited by 2 patents.
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KEYWORDS
Optical flow

Image sensors

Modulation

Copper indium disulfide

Signal detection

Cameras

Signal to noise ratio

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