Three-dimensional depth data acquisition method based on frequency optimization jitter algorithm
A technology of dithering algorithm and depth data, applied in image data processing, calculation, calculation model and other directions, can solve problems such as projector nonlinearity, achieve the effect of solving nonlinear problems and improving the speed of 3D measurement
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Embodiment 1
[0067] In order to solve the problem of time-consuming calculation, the present invention replaces the optimization of the entire binary fringe pattern by optimizing a binary block, and then combines the binary blocks into a complete pattern by utilizing the periodicity and symmetry of sinusoidal fringes. Assuming that the ideal fringe pattern changes sinusoidally in the horizontal direction, the binary fringes to be optimized should not only have periodicity and symmetry in the horizontal direction, but also have periodicity in the vertical direction. figure 1 is a flowchart of an optimization framework for replacing the entire binary fringe pattern by optimizing a binary block based on the frequency domain optimization method; figure 2 It is a visualization process of the key steps in the fringe pattern generation.
[0068] Its main steps are described as follows:
[0069] (1) Determine the individual dimension of the population. The size of the binary block is initialize...
Embodiment 2
[0079] In order to solve the problem of time-consuming calculation, the present invention replaces the optimization of the entire binary fringe pattern by optimizing a binary block, and then combines the binary blocks into a complete pattern by utilizing the periodicity and symmetry of sinusoidal fringes. Assuming that the ideal fringe pattern changes sinusoidally in the horizontal direction, the binary fringes to be optimized should not only have periodicity and symmetry in the horizontal direction, but also have periodicity in the vertical direction. figure 1 is a flowchart of an optimization framework for replacing the entire binary fringe pattern by optimizing a binary block based on the frequency domain optimization method;
[0080] Its main steps are described as follows:
[0081] (1) Determine the individual dimension of the population. The size of the binary block is initialized to S y ×S x , where S y = 1, S x =T / 2 is half a stripe period, and the individual dime...
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