Robust Methods for Dense Monocular Non Rigid 3D Reconstruction and Alignment of Point Clouds is popular PDF and ePub book, written by Vladislav Golyanik in 2020-06-04, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Robust Methods for Dense Monocular Non Rigid 3D Reconstruction and Alignment of Point Clouds can be Read Online from any device for your convenience.
Robust Methods for Dense Monocular Non Rigid 3D Reconstruction and Alignment of Point Clouds Book PDF 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. 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).
Detail Book of Robust Methods for Dense Monocular Non Rigid 3D Reconstruction and Alignment of Point Clouds PDF
- Author : Vladislav Golyanik
- Release : 04 June 2020
- Publisher : Springer Nature
- ISBN : 9783658305673
- Genre : Computers
- Total Page : 352 pages
- Language : English
- PDF File Size : 15,6 Mb
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