Abstract
Accurately tracking the six degree-of-freedom pose of an object in real scenes is an important task in computer vision and augmented reality with numerous applications. Although a variety of algorithms for this task have been proposed, it remains difficult to evaluate existing methods in the literature as oftentimes different sequences are used and no large benchmark datasets close to realworld scenarios are available. In this paper, we present a large object pose tracking benchmark dataset consisting of RGB-D video sequences of 2D and 3D targets with ground-truth information. The videos are recorded under various lighting conditions, different motion patterns and speeds with the help of a programmable robotic arm. We present extensive quantitative evaluation results of the state-of-the-art methods on this benchmark dataset and discuss the potential research directions in this field. The proposed benchmark dataset is available online at media.ee.ntu.edu.tw/research/OPT.
Original language | English |
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Title of host publication | Adjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 |
Editors | Wolfgang Broll, Holger Regenbrecht, J Edward Swan, Gerd Bruder, Myriam Servieres, Maki Sugimoto |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 186-191 |
Number of pages | 6 |
ISBN (Electronic) | 9780769563275 |
DOIs | |
Publication status | Published - 2017 Oct 27 |
Event | 16th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 - Nantes, France Duration: 2017 Oct 9 → 2017 Oct 13 |
Publication series
Name | Adjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 |
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Conference
Conference | 16th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 |
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Country/Territory | France |
City | Nantes |
Period | 17/10/9 → 17/10/13 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Human-Computer Interaction
- Media Technology