3-D motion estimation for positioning from 2-D acoustic video imagery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4478 LNCS, Issue PART 2, 2007, Pages 80-88

  Sekkati, H ^a   Negahdaripour, S ^a  

^a UNIVERSITY OF MIAMI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC IMAGING; COMPUTER VISION; NONLINEAR SYSTEMS; SONAR; UNDERWATER IMAGING;

MOTION PARAMETERS; NONLINEAR OPTIMIZATION; SEARCH AND INSPECTION OPERATIONS; TWO-VIEW HOMOGRAPHY;

MOTION ESTIMATION;

EID: 38049153594     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72849-8_11     Document Type: Conference Paper

References (29)

1. http://www.bluefinrobotics.com
2. http://www.underwater.com/archives/arch/034.07.shtml
3. http://www.blueviewtech.com
4. http://www.soundmetrics.com
5. http://www.videoray.com/ftp/HULSFest/spawar_incoming/HF_Conf-Granger.pdf
6. Negahdaripour, S.: Epipolar geometry of optic-acoustic stereo imaging, in print. On IEEE PAMI (also appeared in Proc. IEEE Oceans 05)
7. Negahdaripour, S., Firoozfam, P., Sabzmeydani, P.: On Processing and registration of forward-scan acoustic video imagery. In: Proc, Canadian Conf. Computer & Robot Vision, Victoria, BC, Canada (May 2005)
8. Sekkati, H., Negahdaripour, S.: Direct and Indirect 3-D Reconstruction from Opti-Acoustic Stereo Imaging. In: Third International Symposium on 3D Data Processing, Visualization and Transmission, Chapel Hill, USA (June 14-16, 2006)
9. Balasuriya, A., Ura, T.: Underwater cable following by Twin-Burger 2. In: Proc. IEEE Robotics Automation (2001)
10. Belcher, E.O., Gallagher, D.G., Barone, J.R., Honaker, R.E.: Acoustic lens camera and underwater display combine to provide efficient and effective hull and berth inspections. In: Proc. Oceans'03, San Diego, CA (September 2003)
11. Kim, K., Neretti, N., Intrator, N.: Non-iterative construction of super-resolution image from an acoustic camera video sequence. In: Proc. CIHSPS (2005)
12. Garcia, R., Nicosevici, T., Ridao, P., Ribas, D.: Towards a real-time vision-based navigation system for a small-class UUV. IEEE IROS, Las Vegas (2003)
13. Harris, C., Stephens, M.: A combined corner and edge detector. In: Proc. Alvey Vision Conference (1988)
14. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge Univ. Press, Cambridge (2001)
15. Kullback, S.: Information theory and statistics. Dover publications, Mineola, NY (edition 1968)
16. Marks, R., Wang, H.H., Lee, M., Rock, S.: Automatic visual station keeping of an underwater robot. In: Proc. Oceans'94, Brest, France (September 1994)
17. Lots, J-F., Lane, D.M., Trueco, E., Chaumette, F.: A 2-D visual servoing for underwater vehicle station keeping. In: Proceedings IEEE Conference Robotics and Automation, Seoul, Korea (2001)
18. Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proc. Int. Joint Conference on Artificial Intelligence, Vancouver, Canada (August 1981)
19. Majumder, S., Scheding, S., Durrant-Whyte, H.F.: Multi sensor data fusion for underwater navigation, Robotics and Autonomous Systems, vol. 35(1) (2001)
20. Marquardt, D.: An algorithm for least-squares estimation of nonlinear parameters, J. Society for Industrial and Applied Mathematics, vol. 11(2) (1963)
21. Ortiz, A., Oliver, G., Frau, J.: A vision system for underwater real-time control tasks. In: Proc. Oceans'97, Halifax, CA, pp. 1425-1430 (1997)
22. Rosenblum, L.J., Kamgar-Parsi, B., Belcher, E.O., Engelsen, O.: Acoustic imaging: The reconstruction of underwater objects. IEEE Visualization (1991)
23. Gracias, N., Santos-Victor, J.: Underwater video mosaics as visual navigation maps, Computer Vision Image Understanding, vol. 79 (July 2000)
24. Shi, J., Tomasi, C.: Good features to track. In: Proc. IEEE CVPR, Seattle, WA (June 1994)
25. Silpa-Anan, C., Brinsmead, T., Abdallah, S., Zelinsky A.: Preliminary experiments in visual servo control for autonomous underwater vehicle In: Proc. IEEE Int. Conf. Intelligent Robots and Systems, Maui, Hawaii (October/ November 2001)
26. Longuet-Higgins, H.: A computer algorithm for reconstructing a scene from two projections. Nature 293, 133-135(1981)
27. Tsai, R., Huang, T.: Uniqueness and estimation of three-dimensional motion parameters of rigid objects with curved surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 6, 13-27(1984)
28. Shi, J., Tomasi, C.: Good features to track. In: Proc. IEEE Conference on Computer Vision & Pattern Recognition, Seattle, WA, pp. 593-600 (June 1994)
29. Bouguet, J.: Pyramidal implementation of the Lucas Kanade feature tracker. Microprocessor Research Labs, Intel Corporation, Tech. Rep (2000)