Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |

Uchiyama11b

H. Uchiyama, E. Marchand. Toward Augmenting Everything: Detecting and Tracking Geometrical Features on Planar Objects. In IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR'11, Pages 17-25, Basel, Switzeland, October 2011.

Download [help]

Download paper: Doi page

Download Hal paper: Hal : Hyper Archive en ligne

Download paper: Adobe portable document (pdf) pdf

Copyright notice:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2024, Projet Lagadic/Rainbow

Abstract

This paper presents an approach for detecting and tracking various types of planar objects with geometrical features. We combine tra- ditional keypoint detectors with Locally Likely Arrangement Hash- ing (LLAH) [21] for geometrical feature based keypoint matching. Because the stability of keypoint extraction affects the accuracy of the keypoint matching, we set the criteria of keypoint selection on keypoint response and the distance between keypoints. In order to produce robustness to scale changes, we build a non-uniform im- age pyramid according to keypoint distribution at each scale. In the experiments, we evaluate the applicability of traditional keypoint detectors with LLAH for the detection. We also compare our ap- proach with SURF and finally demonstrate that it is possible to de- tect and track different types of textures including colorful pictures, binary fiducial markers and handwritings

Contact

Eric Marchand

BibTex Reference

@InProceedings{Uchiyama11b,
   Author = {Uchiyama, H. and Marchand, E.},
   Title = {Toward Augmenting Everything: Detecting and Tracking Geometrical Features on Planar Objects},
   BookTitle = {IEEE Int. Symp. on Mixed and Augmented Reality, ISMAR'11},
   Pages = {17--25},
   Address = {Basel, Switzeland},
   Month = {October},
   Year = {2011}
}

EndNote Reference [help]

Get EndNote Reference (.ref)