Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vladislav Golyanik proposes several new methods for dense non-rigid structure from motion (NRSfM) as well as alignment of point clouds. The introduced methods improve the state of the art in various aspects, i.e. in the ability to handle inaccurate point
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Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vladislav Golyanik
Robust Methods for Dense Monocular NonRigid 3D Reconstruction and Alignment of Point Clouds
Vladislav Golyanik Computer Graphics D4 Max Planck Institute for Informatics Saarbruecken, Germany Vom Fachbereich Informatik der Technischen Universität Kaiserslautern zur Verleihung des akademischen Grades Doktor der Ingenieurwissenschaften (Dr.-Ing.) genehmigte Dissertation Datum der wissenschaftlichen Aussprache: 20. November 2019 Dekan: Prof. Dr. Stefan Deßloch Vorsitzender der Promotionskommission: Prof. Dr. Hans Hagen Erster Berichterstatter: Prof. Dr. Didier Stricker Zweiter Berichterstatter: Prof. Dr. Reinhard Koch Dritter Berichterstatter: Prof. Dr. Antonio Agudo Technische Universität Kaiserslautern, 2019 D386
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Acknowledgments I am deeply and sincerely thankful to my doctoral supervisor Didier Stricker, the head of the Augmented Vision Department at the German Research Centre for Artificial Intelligence (DFKI) and a professor at the University of Kaiserslautern. He has always supported me in my research intentions, appreciated my independent work and strategically contributed to my development. He has also encouraged me to complete a
