Prof. Dr. Didier Stricker
Dr. Alain Pagani
Dr. Gerd Reis
Eric Thil
Keonna Cunningham
Dr. Oliver Wasenmüller
Dr. Gabriele Bleser
Dr. Bruno Mirbach
Dr. Jason Raphael Rambach
Dr. Bertram Taetz
Dr. Muhammad Zeshan Afzal
Sk Aziz Ali
Mhd Rashed Al Koutayni
Murad Almadani
Alaa Alshubbak
Yuriy Anisimov
Jilliam Maria Diaz Barros
Ramy Battrawy
Hammad Butt
Mahdi Chamseddine
Steve Dias da Cruz
Fangwen Shu
Torben Fetzer
Ahmet Firintepe
Sophie Folawiyo
David Michael Fürst
Kamalveerkaur Garewal
Christiano Couto Gava
Leif Eric Goebel
Tewodros Amberbir Habtegebrial
Simon Häring
Khurram Hashmi
Jigyasa Singh Katrolia
Andreas Kölsch
Onorina Kovalenko
Stephan Krauß
Paul Lesur
Muhammad Jameel Nawaz Malik
Michael Lorenz
Markus Miezal
Mina Ameli
Nareg Minaskan Karabid
Mohammad Minouei
Pramod Murthy
Mathias Musahl
Peter Neigel
Manthan Pancholi
Qinzhuan Qian
Engr. Kumail Raza
Dr. Nadia Robertini
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar
Alexander Schäfer
Pascal Schneider
René Schuster
Mohamed Selim
Lukas Stefan Staecker
Dennis Stumpf
Yongzhi Su
Xiaoying Tan
Yaxu Xie
Dr. Vladislav Golyanik
Dr. Aditya Tewari
André Luiz Brandão
A Shape Completion Component for Monocular Non-Rigid SLAM
A Shape Completion Component for Monocular Non-Rigid SLAM
Proceedings of the 18th IEEE ISMAR. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2019) October 14-18 Beijing China IEEE 2019 .
- Abstract:
- We propose a finite element method (FEM) based approach for surface stitching which can be integrated into existing SLAM and NRSfM pipelines for AR applications. Given individual reconstructions and camera poses at different time stamps, our stitching method incrementally completes the surface with a smooth transition between the hidden and the observed parts, so that all the observed parts can be stitched into a single surface. Thanks to the physical modelling, deformations from the observed parts are propagated to the hidden parts enabling an overall high-fidelity and realistic estimate. To keep the computational time in bounds, deformations near the observed parts are computed with FEM, and the remaining region is approximated by Laplacian deformation. We assume that no force is applied to the hidden parts. To evaluate the algorithm, we generate a synthetic dataset with ground truth. In our dataset, the camera observes only a part of the target surface in each frame and moves until the whole target surface is covered. The dataset which will be made publicly available includes the ground truth cam-era poses and geometries of the whole surface at each time frame. An experimental evaluation of the stitching method with accuracy metrics rounds out the draft.