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
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.
Acheter neuf
Afficher cet article
EUR 70,90
EUR 3,67 expédition vers Etats-Unis
Destinations, frais et délais
Résultats de recherche pour Robust Methods for Dense Monocular Non-Rigid 3D Reconstructi...
Image d'archives
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vendeur : Toscana Books, AUSTIN, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. N° de réf. du vendeur Scanned3658305665
Quantité disponible : 1 disponible(s)
Image d'archives
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vendeur : Best Price, Torrance, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. SUPER FAST SHIPPING. N° de réf. du vendeur 9783658305666
Quantité disponible : 1 disponible(s)
Image d'archives
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur ABLIING23Mar3113020252311
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Robust Methods for Dense Monocular Non-rigid 3d Reconstruction and Alignment of Point Clouds
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 41470786-n
Quantité disponible : 15 disponible(s)
Image d'archives
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds (Paperback)
Edité par
Springer Fachmedien Wiesbaden, Weisbaden, 2020
ISBN 10 : 3658305665
ISBN 13 : 9783658305666
Neuf
Paperback
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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 Saarbruecken, 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 proposes several new methods for dense non-rigid structure from motion (NRSfM) as well as alignment of point clouds. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783658305666
Quantité disponible : 1 disponible(s)
Image d'archives
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783658305666_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783658305666
Quantité disponible : 10 disponible(s)
Image fournie par le vendeur
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Edité par
Springer Fachmedien Wiesbaden Jun 2020, 2020
ISBN 10 : 3658305665
ISBN 13 : 9783658305666
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 for computer vision and graphics (e.g., quantum computers and event cameras). 376 pp. Englisch. N° de réf. du vendeur 9783658305666
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Robust Methods for Dense Monocular Non-rigid 3d Reconstruction and Alignment of Point Clouds
Edité par
Springer Vieweg, 2020
ISBN 10 : 3658305665
ISBN 13 : 9783658305666
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 41470786
Quantité disponible : 15 disponible(s)
Image d'archives
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. pp. 352. N° de réf. du vendeur 26378072512
Quantité disponible : 4 disponible(s)