Articles liés à Robust Methods for Dense Monocular Non-Rigid 3D Reconstructi...

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

Golyanik, Vladislav

 
9783658305666: Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Couverture souple
ISBN 10 : 3658305665 ISBN 13 : 9783658305666
Editeur : Springer Vieweg, 2020

Synopsis

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). 

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

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).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Vieweg
Date d'édition
2020
Langue
anglais
ISBN 10 
3658305665
ISBN 13 
9783658305666
Reliure
Broché
Nombre de pages
376
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