TY - GEN
T1 - Effective Registration for Multiple Users AR System
AU - Chen, Wen Jie
AU - Chen, Chun Wei
AU - Wang, Jonas
AU - Shieh, Ming Der
PY - 2017/1/30
Y1 - 2017/1/30
N2 - Registration is an important task in augmented reality (AR) systems. For markerless AR, feature descriptors are generally used as a basis of registration process, which is expected to be robust for various application scenarios. This work aims at exploring effective schemes to improve the registration results, especially for applications with large viewpoint angles. Using the proposed scheme, the registration error can be reduced by only evaluating feature points near the virtual object and within the region of interest. Experimental results reveal that about 30% to 50% registration error and 10 times data size of features can be reduced by applying the proposed schemes. Thus, the bandwidth requirement for transmitting features among different users is also decreased accordingly.
AB - Registration is an important task in augmented reality (AR) systems. For markerless AR, feature descriptors are generally used as a basis of registration process, which is expected to be robust for various application scenarios. This work aims at exploring effective schemes to improve the registration results, especially for applications with large viewpoint angles. Using the proposed scheme, the registration error can be reduced by only evaluating feature points near the virtual object and within the region of interest. Experimental results reveal that about 30% to 50% registration error and 10 times data size of features can be reduced by applying the proposed schemes. Thus, the bandwidth requirement for transmitting features among different users is also decreased accordingly.
UR - http://www.scopus.com/inward/record.url?scp=85015248835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015248835&partnerID=8YFLogxK
U2 - 10.1109/ISMAR-Adjunct.2016.0092
DO - 10.1109/ISMAR-Adjunct.2016.0092
M3 - Conference contribution
AN - SCOPUS:85015248835
T3 - Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
SP - 270
EP - 271
BT - Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
A2 - Veas, Eduardo
A2 - Grasset, Raphael
A2 - Langlotz, Tobias
A2 - Martin, Alejandro
A2 - Martinez-Carranza, Jose
A2 - Sugimoto, Maki
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
Y2 - 18 September 2016 through 23 September 2016
ER -