Robust methods for dense monocular non-rigid 3D reconstruction and alignment of point clouds /

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Bibliographic Details
Author / Creator:Golyanik, Vladislav.
Imprint:Wiesbaden : Springer Vieweg, 2020.
Description:1 online resource (369 p.)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12605781
Hidden Bibliographic Details
ISBN:9783658305673
3658305673
3658305665
9783658305666
Notes:Description based upon print version of record.
Includes bibliographical references.
Summary: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. --
Other form:Print version: Golyanik, Vladislav Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds Wiesbaden : Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH,c2020 9783658305666