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.
In this paper,we study optical flow determination with Complex Sinusoidally Modulated Imaging (CSMI) using a novel imaging device, the correlation image sensor (CIS). The proposed method is based on a newly obtained relation what we call the optical flow identity (OFI) between intensity image and complex inusoidally-modulated image captured simultaneously by the CIS. This equation is complex-valued and the optical flow is a 2-dimensional vector for each pixel. Therefore, it is possible to compute the optical flow from one pixel value and its spatial gradient. Since the OFI does not involve time derivative, information on a single frame is sufficient. Moreover, the velocity limitation due to the spatio-temporal aliasing and approximate frame differentials used in conventionalt methods is avoided.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.