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
Towards Non-Rigid Reconstruction – How to adapt rigid RGB-D reconstruction to non-rigid movements?
Towards Non-Rigid Reconstruction – How to adapt rigid RGB-D reconstruction to non-rigid movements?
International Conference on Computer Vision Theory and Applications International Conference on Computer Vision Theory and Applications (VISAPP-17), February 27 - March 1, Porto, Portugal
- Abstract:
- Human body reconstruction is a very active field in recent Computer Vision research. The challenge is the moving human body while capturing, even when trying to avoid that. Thus, algorithms which explicitly cope with non-rigid movements are indispensable. In this paper, we propose a novel algorithm to extend existing rigid RGB-D reconstruction pipelines to handle non-rigid transformations. The idea is to store in addition to the model also the non-rigid transformation nrt of the current frame as a sparse warp field in the image space. We propose an algorithm to incrementally update this transformation nrt. In the evaluation we show that the novel algorithm provides accurate reconstructions and can cope with non-rigid movements of up to 5cm.
- Keywords:
- RGB-D reconstruction, non-rigid, human body capture, sparse warp field