Flying laser range sensor for large-scale site-modeling and its applications in bayon digital archival project

International Journal of Computer Vision

Volumn 78, Issue 2-3, 2008, Pages 207-222

  Banno, A ^a   Masuda, T ^a   Oishi, T ^a   Ikeuchi, K ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Alignment; Cultural sites; Large scale 3D scenes; Moving range sensors; Shape rectification

Indexed keywords

ALGORITHMS; IMAGE SENSORS; THREE DIMENSIONAL COMPUTER GRAPHICS;

CULTURAL SITES; LARGE-SCALE 3D SCENES; MOVING RANGE SENSORS; SHAPE RECTIFICATION;

IMAGE PROCESSING;

EID: 40949103620     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-007-0104-6     Document Type: Article

References (38)

1. Banno, A., & Ikeuchi, K. (2005). Shape recovery of 3D data obtained from a moving range sensor by using image sequences. In Proceedings of the international conference on computer vision (ICCV2005) (Vol. 1, pp. 792-799).
2. Besl, P. J., & McKay, N. D. (1992). A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256.
3. Brown, D. (1976). The bundle adjustment-progress and prospect. In XIII congress of the ISPRS, Helsinki.
4. Chen, Y., & Medion, G. (1992). Object modeling by registration of multiple range images. Image and Vision Computing, 10(3), 145-155.
5. Christy, S., & Horaud, R. (1996). Euclidean shape and motion from multiple perspective views by affine iterations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(11), 1098-1104.
6. Chui, H., & Rangarajan, A. (2003). A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding, 89, 114-141.
7. Curless, B., & Levoy, M. (1996). A volumetric method for building complex models from range images. In Proceedings of SIGGRAPH'96 (pp. 303-312). New York: ACM.
8. Feldmar, J., & Ayache, N. (1996). Rigid, affine and locally affine registration of free-form surfaces. International Journal of Computer Vision, 18(2), 99-119.
9. Fischler, M. A., & Bolles, R. C. (1981). Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6), 381-395.
10. Hähnel, D., Thrun, S., & Burgard, W. (2003). An extension of the ICP algorithm for modeling nonrigid objects with mobile robots. In Proceedings of the international joint conference on artificial intelligence (IJCAI).
11. Han, M., & Kanade, T. (1999). Perspective factorization methods for euclidean reconstruction (Technical report: CMU-RI-TR-99-22). Robotics Institute, Carnegie Mellon University.
12. Harris, C., & Stephens, M. (1988). A combined corner and edge detector. In Proceedings of Alvey vision conference (pp. 147-152).
13. Hirota, Y., Masuda, T., Kurazume, R., Ogawara, K., Hasegawa, K., & Ikeuchi, K. (2004). Designing a laser range finder which is suspended beneath a balloon. In Proceedings of the 6th Asian conference on computer vision (ACCV2004) (Vol. 2, pp. 658-663).
14. Ikeuchi, K., Nakazawa, A., Hasegawa, K., & Ohishi, T. (2003). The Great Buddha project: Modeling cultural heritage for VR systems through observation. In Proceedings of the 2nd IEEE and ACM international symposium on mixed and augmented reality (ISMAR2003).
15. Jacobs, D. A. (1977). The state of the art in numerical analysis. London: Academic Press.
16. Jain, V., Zhang, H., & van Kaick, O. (2007, accepted). Non-rigid spectral correspondence of triangle meshes. International Journal on Shape Modeling (via invitation to Special Issue of SMI 2006).
17. Kawakami, R., Tan, R. T., & Ikeuchi, K. (2005). Consistent surface color for texturing large objects in outdoor scenes. In Proceedings of the international conference on computer vision (ICCV2005) (Vol. 2, pp. 1200-1207).
18. Kurazume, R., Nishino, K., Zhang, Z., & Ikeuchi, K. (2002). Simultaneous 2D images and 3D geometric model registration for texture mapping utilizing reflectance attribute. In Proceedings of fifth Asian conference on computer vision (ACCV2002) (Vol. 1, pp. 99-106).
19. Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91-110.
20. Marquardt, D. W. (1963). An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11, 431-441.
21. Masuda, T., Hirota, Y., Nishino, K., & Ikeuchi, K. (2005). Simultaneous determination of registration and deformation parameters among 3D range images. In Proceedings of 5th international conference on 3-D digital imaging and modeling (3DIM2005) (pp. 369-376).
22. Matsui, K., Ono, S., & Ikeuchi, K. (2005). The climbing sensor: 3-D modeling of a narrow and vertically stalky space by using spatio-temporal range image. In International conference on intelligent robots and systems (IROS2005).
23. Miller, R., & Amidi, O. (1998). 3-D site mapping with the CMU autonomous helicopter. In The 5th international conference on intelligent autonomous systems.
24. Miyazaki, D., Oishi, T., Nishikawa, T., Sagawa, R., Nishino, K., Tomomatsu, T., Yakase, Y., & Ikeuchi, K. (2005). The Great Buddha project: Modelling cultural heritage through observation. In Proceedings of the 6th international conference on virtual systems and multimedia (VSMM2000) (pp. 138-145).
25. Moravec, H. P. (1977). Towards automatic visual obstacle avoidance. In Proceedings of 5th international joint conference on artificial intelligence (p. 584).
26. Nishino, K., & Ikeuchi, K. (2002). Robust simultaneous registration of multiple range images. In Proceedings of 5th Asian conference on computer vision (ACCV2002) (pp. 454-461).
27. Oishi, T., Sagawa, R., Nakazawa, A., Kurazume, R., & Ikeuchi, K. (2003). Parallel alignment of a large number of range images. In Proceedings of 4th international conference on 3-D digital imaging and modeling (3DIM2004) (pp. 195-202).
28. Oishi, T., Nakazawa, A., Kurazume, R., & Ikeuchi, K. (2005). Fast simultaneous alignment of multiple range images using index images. In Proceedings of 5th international conference on 3-D digital imaging and modeling (3DIM2005) (pp. 476-483).
29. Polak, E. (1971). Computational methods in optimization. New York: Academic Press.
30. Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. T. (1988). Numerical recipes in C. Cambridge: Cambridge University Press.
31. Rusinkiewicz, S., & Levoy, M. (2001). Efficient variant of the ICP algorithm. In Proceedings of the 3rd international conference on 3-D digital imaging and modeling (3DIM2001) (pp. 145-152).
32. Smith, S. M., & Brady, M. (1997). SUSAN-a new approach to low level image processing. International Journal of Computer Vision, 23(1), 45-78.
33. Stoer, J., & Bulirsh, R. (1980). Introduction to numerical analysis. New York: Springer.
34. Szeliski, R., & Lavallée, S. (1996). Matching 3-D anatomical surfaces with non-rigid deformations using Octree-splines. International Journal of Computer Vision, 18(2), 171-186.
35. Thrun, S., Diel, M., & Haehnel, D. (2003). Scan alignment and 3-D surface modeling with a helicopter platform. In Proceedings of the 4th international conference on field and service robotics.
36. Wheeler, M. D. (1996). Automatic modeling and localization for object recognition. Ph.D. thesis, School of Computer Science, Carnegie Mellon University.
37. Wheeler, M. D., & Ikeuchi, K. (1995). Sensor modeling, probabilistic hypothesis generation, and robust localization for object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(3), 252-265.
38. Zhang, Z. (1994). Iterative point matching for registration of free-form curves and surfaces. International Journal of Computer Vision, 13, 119-152.