Capturing village-level heritages with a hand-held camera-laser fusion sensor

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

Volumn , Issue , 2009, Pages 947-954

  Bok, Yunsu ^a   Choi, Donggul ^a   Jeong, Yekeun ^a   Kweon, In So ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

2D LASER SCANNERS; 3D RECONSTRUCTION; ACCUMULATED ERRORS; CALIBRATION METHOD; ERROR REDUCTION; FUSION SENSOR; HAND-HELD CAMERAS; LAST STAGE; LEVEL OF DETAIL; RELATIVE POSE; REPROJECTION ERROR; SATELLITE IMAGES; WIDE FIELD-OF-VIEW;

CALIBRATION; CAMERAS; COMPUTER VISION; IMAGE RECONSTRUCTION; MOTION ESTIMATION; SENSORS;

THREE DIMENSIONAL;

EID: 77953193696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457600     Document Type: Conference Paper

References (14)

1. A. Banno and et al. Flying laser range sensor for large-scale site-modeling and its applications in bayon digital archival project. International Journal of Computer Vision, 2008. 1
2. Y. Bok, Y. Hwang, and I. S. Kweon. Accurate motion estimation and high-precision 3d reconstruction by sensor fusion. Proceedings of the IEEE International Conference on Robotics and Automation, 2007. 1, 5
3. N. Cornelis and et al. 3d urban scene modeling integrating recognition and reconstruction. International Journal of Computer Vision, 2008. 1
4. M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. of the ACM, 1981. 4
5. C. Frueh, S. Jain, and A. Zakhor. Data processing algorithms for generating textured 3d building facade meshes from laser scans and camera images. International Journal of Computer Vision, 2005. 1
6. R. Haralick and et al. Review and analysis of solutions of the three point perspective pose estimation problem. International Journal of Computer Vision, 1994. 4
7. K. Levenberg. A method for the solution of certain nonlinear problems in least squares. The Quarterly of Applied Mathematics, 1944. 3
8. D. Nister. A minimal solution to the generalised 3-point pose problem. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. 4
9. M. Pollefeys and et al. Detailed real-time urban 3d reconstruction from video. International Journal of Computer Vision, 2008. 1
10. G. C. Sharp, S. W. Lee, and D. K. Wehe. Multiview registration of 3d scenes by minimizing error between coordinate frames. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004. 6
11. J. Shi and C. Tomasi. Good features to track. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1994. 4
12. N. Snavely, S. M. Seitz, and R. Szeliski. Photo tourism: Exploring photo collections in 3d. ACM Transactions on Graphics, 2006. 1
13. Q. Zhang and R. Pless. Extrinsic calibration of a camera and laser range finder (improves camera calibration). Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004. 2, 3, 4
14. Z. Zhang. Flexible camera calibration by viewing a plane from unknown orientations. Proceedings of the IEEE International Conference on Computer Vision, 1999. 2, 3