Identification of suitable interest points using geometric and photometric cues in motion video for efficient 3-D environmental modeling

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2007, Pages 4969-4974

  Nicosevici, T ^a   Garcia, R ^a   Negahdaripour, S ^a   Kudzinava, M ^a   Ferrer, J ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ENVIRONMENTAL ENGINEERING; FEATURE EXTRACTION; IMAGE RECONSTRUCTION; MOTION PICTURES; PARAMETER ESTIMATION; THREE DIMENSIONAL COMPUTER GRAPHICS;

DATA ASSOCIATION; PHOTOMETRIC CUES; TRAJECTORY LOOPS;

VIDEO SIGNAL PROCESSING;

EID: 36348982790     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2007.364245     Document Type: Conference Paper

References (15)

1. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cambridge University Press, ISBN: 0521540518, 2004.
2. M., Brown, D. Burschka, and G. Hager, "Advances in computational stereo," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 3, p. 993, 2003.
3. S. Negahdaripour, B. Hayashi, and Y. Aloimonos, "Direct motion stereo for passive navigation," IEEE Trans. on Robotics and Automation, vol. 11, no. 6, pp. 829-843, 1995.
4. S. Negahdaripour and H. Madjidi, "Stereovision imaging on submersible platforms for 3-d mapping of benthic habitats and sea-floor structures," IEEE Journal of Oceanic Engineering, vol. 28, no. 4, pp. 625-650, October 2003.
5. O. Pizzaro, R. Eustice, and H. Singh, "Large area 3d reconstructions from underwater surveys," in MTS/IEEE Oceans, Nov. 2004, pp. 678-687.
6. H. Madjidi, "Three-dimensional global alignment of sensor positions from visual motion measurements," Master's thesis, University of Miami, May 2005.
7. J. Shi and C. Tomasi, "Good features to track," in Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR '94), Seattle, Washington, USA, June 1994, pp. 593-600.
8. D. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, Nov. 2004.
9. H. Bay, T. Tuytelaars, and L. J. Van Gool, "Surf: Speeded up robust features," in In proc. European Conference on Computer Vision, 2006.
10. K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. Van Gool, "A comparison of affine region detectors," IJCV, vol. 65, pp. 43-72, 2005.
11. S. Negahdaripour, X. Xu, A. Khamene, and Z. Awan, "3-d motion and depth estimation from sea-floor images for mosaic-based station-keeping and navigation of rovs/auvs and high-resolution sea-floor mapping," in Workshop on Autonomous Underwater Vehicles AUV, Aug. 1998, pp. 191-200.
12. S. Negahdaripour and H. Madjidi, "Robust optical flow estimation using underwater color images," in MTS/IEEE Oceans, 22-26 Sept 2003, pp. 2309-2316 Vol.4.
13. K. Kanatani, "Structure and motion from optical flow under perspective projection," in Computer Vision, Graphics, and Image Processing, 1987, pp. 122-146.
14. L. Lam, S.-W. Lee, and Y. Suen, "Thinning methodologies-a comprehensive survey," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 9, p. 879, Sept. 1992.
15. J. Deschênes and D. Ziou, "Detection of line junctions and line terminations using curvilinear features," Pattern Recognition Letters, vol. 21, pp. 637-649, 2000.