M. J. Korsten

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The internal representations of 'learned' knowledge in neural networks are stili poorly understood. even for backpropagation networks. This paper discusses a possible interpretation of the leamed knowledge of a network trained for parameter estimation from images. The outputs of the hidden layer are the internal components of the output parameters. The(More)
A statistical model, describing noise-disturbed invariants extracted from a surface patch of a range image, has been developed and applied to region based pose estimation and classification of 3D quadrics. The Mahalanobis distance, which yields the same results as a Baysian classifier, is used for the classification of the surface patches. The results,(More)
A method is given to estimate the geometry and motion of a moving body surface from image sequences. To this aim a parametric model of the surface is used, in order to reformulate the problem to one of parameter estimation. After linearization of the model standard linear estimation methods can be used to estimate the parameters. The main contribution of(More)
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