Search
Publication Authors

Prof. Dr. Didier Stricker

Dr. Alain Pagani

Dr. Gerd Reis

Eric Thil

Keonna Cunningham

Dr. Oliver Wasenmüller

Dr. Muhammad Zeshan Afzal

Dr. Gabriele Bleser

Dr. Muhammad Jameel Nawaz Malik
Dr. Bruno Mirbach

Dr. Jason Raphael Rambach

Dr. Nadia Robertini

Dr. René Schuster

Dr. Bertram Taetz

Ahmed Aboukhadra

Sk Aziz Ali

Mhd Rashed Al Koutayni

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
Anshu Garg

Christiano Couto Gava
Suresh Guttikonda

Tewodros Amberbir Habtegebrial

Simon Häring

Khurram Azeem Hashmi
Henri Hoyez

Alireza Javanmardi

Jigyasa Singh Katrolia

Andreas Kölsch
Ganesh Shrinivas Koparde
Onorina Kovalenko

Stephan Krauß
Paul Lesur

Michael Lorenz

Dr. Markus Miezal

Mina Ameli

Nareg Minaskan Karabid

Mohammad Minouei

Pramod Murthy

Mathias Musahl

Peter Neigel

Manthan Pancholi

Mariia Podguzova

Praveen Nathan
Qinzhuan Qian
Rishav
Marcel Rogge
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar

Alexander Schäfer

Pascal Schneider

Mohamed Selim

Tahira Shehzadi
Lukas Stefan Staecker

Yongzhi Su

Xiaoying Tan
Christian Witte

Yaxu Xie

Vemburaj Yadav

Dr. Vladislav Golyanik

Dr. Aditya Tewari

André Luiz Brandão
Publication Archive
New title
- ActivityPlus
- AlterEgo
- AR-Handbook
- ARVIDA
- Auroras
- AVILUSplus
- Be-greifen
- Body Analyzer
- CAPTURE
- Co2Team
- COGNITO
- DAKARA
- Density
- DYNAMICS
- EASY-IMP
- ENNOS
- Eyes Of Things
- iACT
- IMCVO
- IVMT
- LARA
- LiSA
- Marmorbild
- Micro-Dress
- Odysseus Studio
- On Eye
- OrcaM
- PAMAP
- PROWILAN
- ServiceFactory
- STREET3D
- SUDPLAN
- SwarmTrack
- TuBUs-Pro
- VIDETE
- VIDP
- VisIMon
- VISTRA
- VIZTA
- You in 3D
NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences
NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences
Vladislav Golyanik, Aman Shankar Mathur, Didier Stricker
Proceedings of the British Machine Vision Conference 2016 British Machine Vision Conference (BMVC-16), September 19-22, York, United Kingdom
- Abstract:
- Scene flow recovery from monocular image sequences is an emerging field in computer vision. While existing Monocular Scene Flow (MSF) methods extend the classical optical flow formulation to estimate depths/disparities and 3D motion, we propose a framework based on Non-Rigid Structure from Motion (NRSfM) technique — NRSfM-Flow. Therefore, both problems are formulated in the continuous domain and relation between them is established. To cope with real data, we propose two preprocessing steps for image sequences — redundancy removal and translation resolution — which increase quality of reconstructions and speedup computations. In contrast to the existing MSF methods which can cope with non-rigid deformations, our solution makes no strong assumptions about a scene such as known camera motion or camera velocity constancy and can handle occlusions. NRSfM-Flow is qualitatively evaluated on challenging real-world data. Experiments provide evidence that the proposed approach achieves high accuracy and outperforms state of the art in terms of the ability to reconstruct MSF with less prior knowledge about a scene.
- Keywords:
- monocular scene flow, non-rigid structure from motion, optical flow, 3D reconstruction, redundancy removal, translation resolution