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
A Compact Light Field Camera for Real-Time Depth Estimation
A Compact Light Field Camera for Real-Time Depth Estimation
Mario Vento, Gennaro Percannella (Hrsg.). Computer Analysis of Images and Patterns - 18th International Conference. International Conference on Computer Analysis of Images and Patterns (CAIP-2019) September 2-5 Salerno Italy I Seiten 52-63 Lecture Notes in Computer Science (LNCS) 11678 ISBN 978-3-030-29887-6 Springer, Cham Switzerland 8/2019 .
- Abstract:
- Depth cameras are utilized in many applications. Recently light field approaches are increasingly being used for depth computation. While these approaches demonstrate the technical feasibility, they can not be brought into real-world application, since they have both a high computation time as well as a large design. Exactly these two drawbacks are overcome in this paper. For the first time, we present a depth camera based on the light field principle, which provides real-time depth information as well as a compact design.