Claus-Peter Alberts

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We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a virtual camera around an object and is able to adapt dynamically to different conditions of its environment such as different objects and different purposes of the data(More)
Bibliography 83 Preface Since their introduction by Osher and Sethian [14], level set methods have been used to solve a wide range of problems, including, but not limited to • Photolithography Development, Etching and Deposition in Semi-conductor Manufacturing (see [2]), • Robotic Navigation with Constraints (see [9]). More examples of applications, further(More)
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