Prof. Dr. Didier Stricker
Dr. Alain Pagani
Dr. Gerd Reis
Eric Thil
Nicole Stephanie Buhlinger
Keonna Cunningham
Jason Raphael Rambach
Dr. Oliver Wasenmüller
Dr. Gabriele Bleser
Dr. Bertram Taetz
Sk Aziz Ali
Rashed Al Koutayni
Yuriy Anisimov
Jilliam Maria Diaz Barros
Ramy Battrawy
Hammad Butt
Mahdi Chamseddine
Steve Dias da Cruz
Fangwen Shu
Torben Fetzer
Michael Fürst
Christiano Couto Gava
Tewodros Amberbir Habtegebrial
Hartmut Feld
Jigyasa Katrolia
Andreas Kölsch
Onorina Kovalenko
Stephan Krauß
Paul Lesur
Muhammad Jameel Nawaz Malik
Mina Ameli
Nareg Minaskan Karabid
Pramod Murthy
Mathias Musahl
Peter Neigel
Manthan Pancholi
María Alejandra Sánchez Marín
Kripasindhu Sarkar
Alexander Schäfer
René Schuster
Mohamed Selim
Dennis Stumpf
Yongzhi Su
Xiaoying Tan
André Luiz Brandão
Ahmet Firintepe
Vladislav Golyanik
Aditya Tewari
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.