Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds - Vladislav Golyanik

Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds

Buch | Softcover
XXIV, 352 Seiten
2020 | 1st ed. 2020
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-30566-6 (ISBN)
96,29 inkl. MwSt

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 tracks and 3D data with contaminations. NRSfM with shape priors obtained on-the-fly from several unoccluded frames of the sequence and the new gravitational class of methods for point set alignment represent the primary contributions of this book.

About the Author: 

Vladislav Golyanik is currently a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. The current focus of his research lies on 3D reconstruction and analysis of general deformable scenes, 3D reconstruction of human body and matching problems on point sets and graphs. He is interested in machine learning (both supervised and unsupervised), physics-based methods as well as new hardware and sensors forcomputer vision and graphics (e.g., quantum computers and event cameras). 

Vladislav Golyanik is currently a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. The current focus of his research lies on 3D reconstruction and analysis of general deformable scenes, 3D reconstruction of human body and matching problems on point sets and graphs. He is interested in machine learning (both supervised and unsupervised), physics-based methods as well as new hardware and sensors for computer vision and graphics (e.g., quantum computers and event cameras).

Scalable Dense Non-rigid Structure from Motion.- Shape Priors in Dense Non-rigid Structure from Motion.- Probabilistic Point Set Registration with Prior Correspondences.- Point Set Registration Relying on Principles of Particle Dynamics.

Erscheinungsdatum
Zusatzinfo XXIV, 352 p. 119 illus., 13 illus. in color.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Gewicht 491 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Schlagworte Barnes-Hut Rigid Gravitational Approach • Barnes–Hut Rigid Gravitational Approach • Coherent Depth Fields • Extended Coherent Point Drift • Gravitational Approach for Point Set Registration • High Dimensional Space Model • Human Appearance Transfer • Monocular Scene Flow Estimation • Monocular Surface Regression Networks • Non-Rigid Structure from Motion • NRSfM • NRSfM with the State Recurrence Constraint • Probabilistic Point Set Registration with Prior Ma • Probabilistic Point Set Registration with Prior Matches • RGB-D Based Scene Flow Estimation • Scalable Monocular Surface Reconstruction • Shape Priors for Non-rigid Structure from Motion
ISBN-10 3-658-30566-5 / 3658305665
ISBN-13 978-3-658-30566-6 / 9783658305666
Zustand Neuware
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