Selected Topics in 3D Shape Analysis

In this seminar, we will cover topics from Shape Analysis (i.e. the extraction of more abstract information from a collection of 3D shapes). More concretely, the topics include the analysis of single shapes, how to map between pairs of shapes and a range of possible shape representations (with their individual benefits and disadvantages) for expressive machine learning techniques such as neural networks in order to analyze whole collections of shapes.