Prof. Dr. Didier Stricker
Dr. Alain Pagani
Dr. Gerd Reis
M.A. Eric Thil
Nicole Stephanie Buhlinger
Keonna Cunningham
Dr. Oliver Wasenmüller
Dr. Gabriele Bleser
Dr. Bertram Taetz
M.Sc Rashed Al Koutayni
Yuriy Anisimov
Ramy Battrawy
Hammad Butt
Mahdi Chamseddine
Steve Dias da Cruz
M.Sc. Fangwen Shu
Torben Fetzer
Michael Fürst
Christiano Couto Gava
Vladislav Golyanik
Hartmut Feld
Andreas Kölsch
Onorina Kovalenko
Stephan Krauß
Paul Lesur
Muhammad Jameel Nawaz Malik
Nareg Minaskan Karabid
Mathias Musahl
Peter Neigel
Manthan Pancholi
Jason Raphael Rambach
María Alejandra Sánchez Marín
Kripasindhu Sarkar
Alexander Schäfer
René Schuster
Mohamed Selim
M.Sc. Dennis Stumpf
Yongzhi Su
Xiaoying Tan
Aditya Tewari
André Luiz Brandão
Ahmet Firintepe
Sk Aziz Ali
Jilliam Maria Diaz Barros
Tewodros Amberbir Habtegebrial
Mina Ameli
Pramod Murthy
Accurate and Robust Spherical Camera Pose Estimation using Consistent Points
Accurate and Robust Spherical Camera Pose Estimation using Consistent Points
International Conference on Machine Vision (ICMV-07), November 19-21, Milan, Italy
- Abstract:
- This paper addresses the problem of multi-view camera pose estimation of high resolution, full spherical images. A novel approach to simultaneously retrieve camera poses along with a sparse point cloud is designed for large scale scenes. We introduce the concept of consistent points that allows to dynamically select the most reliable 3D points for nonlinear pose refinement. In contrast to classical bundle adjustment approaches, we propose to reduce the parameter search space while jointly optimizing camera poses and scene geometry. Our method notably improves accuracy and robustness of camera pose estimation, as shown by experiments carried out on real image data.