[POSTER] Exploiting photogrammetric targets for industrial AR
Naik H, Oyamada Y, Keitler P, Navab N (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 144-147
Conference Proceedings Title: Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015
Event location: Fukuoka, JPN
ISBN: 9781467376600
Abstract
In this work, we encourage the idea of using Photogrammetric targets for object tracking in Industrial Augmented Reality (IAR). Photogrammetric targets, especially uncoded circular targets, are widely used in the industry to perform 3D surface measurements. Therefore, an AR solution based on the uncoded circular targets can improve the work flow integration by reusing existing targets and saving time. These circular targets do not have coded patterns to establish unique 2D-3D correspondences between the targets on the model and their image projections. We solve this particular problem of 2D-3D correspondence of non-coplanar circular targets from a single image. We introduce a Conic pair descriptor, which computes the Eucledian invariants from circular targets in the model space and in the image space. A three stage method is used to compare the descriptors and compute the correspondences with up to 100% precision and 89% recall rates. We are able to achieve tracking performance of 3 FPS (2560x1920 pix) to 8 FPS (640×480 pix) depending on the camera resolution and the targets present in the scene.
Involved external institutions
Extend3D
Germany (DE)
Tottori University / 鳥取大学 / National University Corporation Tottori University
Japan (JP)
Johns Hopkins University (JHU)
United States (USA) (US)
Germany (DE)
Tottori University / 鳥取大学 / National University Corporation Tottori University
Japan (JP)
Johns Hopkins University (JHU)
United States (USA) (US)
How to cite
APA:
Naik, H., Oyamada, Y., Keitler, P., & Navab, N. (2015). [POSTER] Exploiting photogrammetric targets for industrial AR. In Nobuchika Sakata, Richard Newcombe, Robert Lindeman, Christian Sandor, Walterio Mayol-Cuevas, Veronica Teichrieb (Eds.), Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015 (pp. 144-147). Fukuoka, JPN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Naik, Hemal, et al. "[POSTER] Exploiting photogrammetric targets for industrial AR." Proceedings of the 14th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015, Fukuoka, JPN Ed. Nobuchika Sakata, Richard Newcombe, Robert Lindeman, Christian Sandor, Walterio Mayol-Cuevas, Veronica Teichrieb, Institute of Electrical and Electronics Engineers Inc., 2015. 144-147.
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