In this paper, we propose a method that solves both jittering and occlusion problems which is the biggest issue in marker based augmented reality technology. Because we adjust the pose estimation by using multiple keypoints that exist in the marker based on cells, we can predict the strong pose on jittering. Additionally, we can solve the occlusion problem by applying tracking technology.
|Title of host publication||Virtual and Mixed Reality - New Trends - International Conference, Virtual and Mixed Reality 2011, Held as Part of HCI International 2011, Proceedings|
|Number of pages||8|
|Publication status||Published - 2011|
|Event||4th International Conference on Virtual and Mixed Reality, Held as Part of HCI International 2011 - Orlando, FL, United States|
Duration: 2011 Jul 9 → 2011 Jul 14
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||4th International Conference on Virtual and Mixed Reality, Held as Part of HCI International 2011|
|Period||11/7/9 → 11/7/14|
Bibliographical noteFunding Information:
Acknowledgement. This work (2010-0027654) was supported by Mid-career Researcher Program through NRF grant funded by the MEST.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)