TY - GEN
T1 - A portable multi-sensor system for geo-referenced image sequences
AU - Lee, Jihun
AU - Choi, Kyoungah
AU - Lee, Impyeong
PY - 2011
Y1 - 2011
N2 - The demand of high-resolution spatial information such as geo-referenced images and realistic 3D models is rapidly increasing. Most existing systems to acquire such information involve expensive platforms such as manned or unmanned, air or ground vehicles to obtain high-resolution images and GPS/IMU data. Thanks to the availability of small image acquisition devices and light-weighted MEMS GPS/IMU in conjunction with a portable UMPC, it is possible to obtain spatial information without any platform but a person. In this study, we developed a Portable Multi-sensor System consisting of a video camera, a MEMS GPS/IMU and a UMPC to acquire video images and position/attitude data. We performed image geo-referencing based on the bundle block adjustment without control points and evaluated our system by verifying the accuracy of object points derived from the geo-referenced images. The experimental results show that the RMSE of relative coordinates of object point was only a few centimeters. Our system can be efficiently utilized to obtain the 3D models of objects. In the future, we plan to improve the accuracy of absolute coordinates through the rigorous calibration of the system and camera.
AB - The demand of high-resolution spatial information such as geo-referenced images and realistic 3D models is rapidly increasing. Most existing systems to acquire such information involve expensive platforms such as manned or unmanned, air or ground vehicles to obtain high-resolution images and GPS/IMU data. Thanks to the availability of small image acquisition devices and light-weighted MEMS GPS/IMU in conjunction with a portable UMPC, it is possible to obtain spatial information without any platform but a person. In this study, we developed a Portable Multi-sensor System consisting of a video camera, a MEMS GPS/IMU and a UMPC to acquire video images and position/attitude data. We performed image geo-referencing based on the bundle block adjustment without control points and evaluated our system by verifying the accuracy of object points derived from the geo-referenced images. The experimental results show that the RMSE of relative coordinates of object point was only a few centimeters. Our system can be efficiently utilized to obtain the 3D models of objects. In the future, we plan to improve the accuracy of absolute coordinates through the rigorous calibration of the system and camera.
KW - Bundle block adjustment
KW - Image geo-referencing
KW - MEMS GPS/IMU
KW - Portable multi sensor system
KW - Video camera
UR - http://www.scopus.com/inward/record.url?scp=84864921910&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84864921910
SN - 9781601321916
T3 - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
SP - 684
EP - 689
BT - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
T2 - 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Y2 - 18 July 2011 through 21 July 2011
ER -