In the last few years one can observe a rise and rebirth of deep neural networks. This is mostly due to the availability of big data and technological advances in computer hardware that made processing power cheap and easily accessible. Deep neural networks are being used in several application domains, for example in autonomous vehicles, for machine translation, image recognition and in health care. In this master thesis we use convolutional neural networks, a flavour of deep neural networks, to solve a problem in the domain of computer vision. By implementing a three-phase model that is based on convolutional neural networks we propose a fast and automated method for reconstructing ellipsoids out of a single color image.
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