TY - GEN
T1 - Markerless tracking for augmented reality applied in reconstruction of yuanmingyuan archaeological site
AU - Guo, Junwei
AU - Wang, Yongtian
AU - Chen, Jing
AU - Lin, Jingdun
AU - Wu, Lun
AU - Xue, Kang
AU - Liu, Wei
AU - Zhang, Jiangen
PY - 2009
Y1 - 2009
N2 - This paper presents an algorithm based on the method of supervised machine learning and multikeyframes to achieve markerless augmented reality (AR) application when there is a locally planar object in the scene. The main goal is to solve the problem of AR tracking in outdoor environment by only using vision and natural features. Instead of tracking fiducial markers, we track natural keypoints, during which the point correspondences are established from the classification perspective. The tracking range is able to be extended by employing many reference images. These results in a promising algorithm that successfully tested on a touring guide system, which provides views of virtual original appearance superimposed to ruins of Yuanmingyuan archaeological site of China. Comparisons are also made between ARToolkit and the proposed algorithm in indoor environment. Experimental results demonstrated that our algorithm is characterized by fairly robustness and high time efficiency in both indoor and outdoor application.
AB - This paper presents an algorithm based on the method of supervised machine learning and multikeyframes to achieve markerless augmented reality (AR) application when there is a locally planar object in the scene. The main goal is to solve the problem of AR tracking in outdoor environment by only using vision and natural features. Instead of tracking fiducial markers, we track natural keypoints, during which the point correspondences are established from the classification perspective. The tracking range is able to be extended by employing many reference images. These results in a promising algorithm that successfully tested on a touring guide system, which provides views of virtual original appearance superimposed to ruins of Yuanmingyuan archaeological site of China. Comparisons are also made between ARToolkit and the proposed algorithm in indoor environment. Experimental results demonstrated that our algorithm is characterized by fairly robustness and high time efficiency in both indoor and outdoor application.
UR - http://www.scopus.com/inward/record.url?scp=70449392429&partnerID=8YFLogxK
U2 - 10.1109/CADCG.2009.5246882
DO - 10.1109/CADCG.2009.5246882
M3 - Conference contribution
AN - SCOPUS:70449392429
SN - 9781424437009
T3 - Proceedings - 2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2009
SP - 324
EP - 329
BT - Proceedings - 2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2009
T2 - 2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2009
Y2 - 19 August 2009 through 21 August 2009
ER -