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

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds PDF full book. Access full book title Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds by Vladislav Golyanik. Download full books in PDF and EPUB format.

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 PDF Author: Vladislav Golyanik
Publisher: Springer Nature
ISBN: 3658305673
Category : Computers
Languages : en
Pages : 369

Get Book Here

Book Description
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).