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
Rapid Light Field Depth Estimation with Semi-Global Matching
Rapid Light Field Depth Estimation with Semi-Global Matching
2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE International Conference on Intelligent Computer Communication and Processing (ICCP-2019) September 5-7 Cluj-Napoca Romania IEEE Xplore 9/2019 .
- Abstract:
- Running time of the light field depth estimation algorithms is typically high. This assessment is based on the computational complexity of existing methods and the large amounts of data involved. The aim of our work is to develop a simple and fast algorithm for accurate depth computation. In this context, we propose an approach, which involves Semi-Global Matching for the processing of light field images. It forms on comparison of pixels’ correspondences with different metrics in the substantially bounded light field space. We show that our method is suitable for the fast production of a proper result in a variety of light field configurations.