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In a previous support article we described the use of regularisation during the training of a multilayer perceptron (MLP) to enhance its capabilities of generalisation to unknown data. In some…Read More
When training any classifier, the goal is to train it so that it generalises well for unknown data. However, in a real application, overfitting is often a problem, i.e., the…Read More
Camera calibration determines the interior and exterior camera parameters based on a sufficiently large number of accurately known three-dimensional world points in metric units and their point correspondences in pixel…Read More
HALCON’s surface-based matching is a powerful, field-proven technique to locate individual objects within point-clouds. Translating the found poses into robot coordinates requires hand-eye calibration. If your 3D sensor also produces…Read More