TY - GEN
T1 - Super-resolution modeling
AU - Nagahara, H.
AU - Yagi, Y.
AU - Yachida, M.
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - Recently, many virtual reality and robotics applications have been called on to create an environmental model from real scenes, because virtual views can be freely created from the model. However, the resolution of sensor limits that of created virtual views. In this paper, we propose super-resolution modeling concept that estimates a higher resolution texture on object from an image sequence. This concept is suitable for an environmental modeling for virtual reality applications. We also propose a modeling system with omnidirectional image sensor, and estimate the system to confirm the effectiveness of super-resolution modeling.
AB - Recently, many virtual reality and robotics applications have been called on to create an environmental model from real scenes, because virtual views can be freely created from the model. However, the resolution of sensor limits that of created virtual views. In this paper, we propose super-resolution modeling concept that estimates a higher resolution texture on object from an image sequence. This concept is suitable for an environmental modeling for virtual reality applications. We also propose a modeling system with omnidirectional image sensor, and estimate the system to confirm the effectiveness of super-resolution modeling.
UR - http://www.scopus.com/inward/record.url?scp=79952721224&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952721224&partnerID=8YFLogxK
U2 - 10.1109/MFI-2003.2003.1232660
DO - 10.1109/MFI-2003.2003.1232660
M3 - Conference contribution
AN - SCOPUS:79952721224
T3 - IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
SP - 215
EP - 221
BT - Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2003
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2003
Y2 - 30 July 2003 through 1 August 2003
ER -