The key to the generative algorithm is the accurate definition of the algorithm function, so as to compare the specific hypothesis with the image information. If the algorithm function is misaligned, the matching of the optimal model parameters cannot be achieved, resulting in the reduction of motion constraints and the probability of outliers. Increase. It is difficult to construct a highly robust algorithm function for higher image noise and lower model configuration. On the one hand, generative algorithms need to make reasonable and reliable initial guesses for model parameters, and on the other hand, the captured target needs to be specified in the initial stage. pose for initial calibration
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