Optical Flow Based on PCNN with Matlab
programing:
PCNN.m PCNN feature extract
HSoptflow.m HS optical flow compute
rpcm.m Reads the PCM raw optical flow field file and displays it, size 200
Optical_Flow_Based_on_Duality_Method
The three elements of optical flow are as follows: optical flow produces velocity field; it is a carrier with information and optical properties such as pixels; it is a projection imaging of 3D scene motion to two-dimensional plane. It is the instantaneous velocity field generated by the motion of pixels with grayscale on the plane of the image.
Abstract:
Optical flow Model I: CLG Model + (grayscale Conservation hypothesis gradient Conservation hypothesis) + Non-Quadratic penalty = (u , v)
Optical flow Model II: CLG Model + (Grayscale Conservation hypothesis Laplacian Conservation hypothesis) + Non-Quadratic penalty = (u', v')
Final Optical flow: dual iteration (u , v) And (u', v')
Theoretical basis:
The three elements of optical flow are as follows: optical flow produces velocity field; it is a carrier with information and optical properties such as pixels; it is a projection imaging of 3D scene motion to two-dimensional plane. It is the instantaneous velocity field generated by the motion of pixels with grayscale on the plane of the image.
In 1981, Horn and Schunck [5] assumed that the time interval between the two frames was very small, that the brightness of a point in the image was proportional to the reflectivity of the surface of the corresponding point on the object, and that there was no spatial discontinuity in the smooth variation of reflectivity. A classical model of optical flow algorithm is proposed in the case of excluding the objects from blocking each other.
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