Name
Abstract | ||
|---|---|---|
This paper presents a new flying sensor system to capture 3D data aerially. The hardware system, consisting of a omni-directional laser scanner and a panoramic camera, can be mounted under a mobile platform (e.g., a balloon or a crane) to achieve the aerial scanning with high resolution and accuracy. Since the laser scanner often requires several minutes to complete an omni-directional scan, the raw data is distorted seriously due to the unknown and uncontrollable movement during the scanning period. To overcome this problem, 1) we first synchronize the two sensors and spherically calibrate them together, 2) our approach then recovers the sensor motion by utilizing the spacial and temporal features extracted both from the image sequences and point clouds, and 3) finally the distorted scans can be rectified with the estimated motion and aligned together automatically. In experiments, we demonstrate that the method achieves a substantially good performance for indoor/outdoor aerial scanning in the applications such as Angkor Wat 3D preservation and manufacturing 3D survey with respect to other state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/3DV.2015.77 | 3DV |
Keywords | Field | DocType |
motion estimation,image sequences,feature extraction,sensor motion recovery,spherical calibration,sensor synchronization,aerial scanning,panoramic camera,omnidirectional laser scanner,3D data capture,omnidirections aerial scan,flying range sensor | Computer vision,Synchronization,Laser scanning,Computer science,Feature extraction,Sensor system,Artificial intelligence,Point cloud,Distortion,Calibration | Conference |
Citations | PageRank | References |
1 | 0.35 | 24 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Zheng | 1 | 159 | 13.62 |
| Xiangqi Huang | 2 | 3 | 0.71 |
| Ryo Ishikawa | 3 | 23 | 3.76 |
| T. Oishi | 4 | 161 | 16.16 |
| Katsushi Ikeuchi | 5 | 4651 | 881.49 |