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The sigma-delta cellular neural network (SD-CNN) is a complete framework of a spatial domain sigma-delta modulator, and has a very high image reconstruction (AD-to-DA) performance. In this architecture, the A-template, given by a 2D low pass filter (LPF), is used for a digital to analogue converter (DAC), the C-template works as an integrator, and the nonlinear output function is for the bilevel output...
In order to reconstruct 3D structure from image sequences we have to do tracking feature points on the sequence. There are some methods to track feature points on image sequence. One is to track the feature points and remove outliers by the geometric constraints between successive images. Another method is a camera optical system approximated by the affine camera model and tracking feature points...
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