Automatic registration of 3D datasets using Gaussian fields

Proceedings - International Conference on Image Processing, ICIP

Volumn 3, Issue , 2005, Pages 804-807

  Boughorbel, Faysal ^a   Koschan, Andreas ^b   Abidi, Mongi ^b  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b University of Tennessee Knoxville   (United States)

Author keywords

3D Registration; Fast Gauss Transform; Gaussian Fields; Optimization

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION;

3D REGISTRATION; FAST GAUSS TRANSFORM; GAUSSIAN FIELDS; ITERATIVE CLOSEST POINT (ICP);

DATABASE SYSTEMS;

EID: 33749234376     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2005.1530514     Document Type: Conference Paper

References (13)

1. P. J. Besl and N. D. McKay, "A Method for Registration of 3-D Shapes," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, 1992.
2. R. Campbell and P. Flynn, "A Survey of Free-form Object Representation and Recognition Techniques", CVIU, vol. 81, no. 2, pp. 166-210, 2001.
3. G. Charpiat, O. Faugeras, and R. Keriven, "Shape Metrics, Warping and Statistics," in Proc. International Conference on Image Processing, vol. 2, pp. 627-630, Barcelona, 2003.
4. A. Elgammal, R. Duraiswami, and L. Davis, "Efficient Kernel Density Estimation using the Fast Gauss Transform with Applications to Color Modeling and Tracking," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 11, pp. 1499-1504, 2003.
5. A. W. Fitzgibbon, "Robust registration of 2D and 3D Point Sets," Image and Vision Computing, vol. 21, pp. 1145-1153, 2003.
6. L. Greengard, The Rapid Evaluation of Potential Fields in Particle Systems, Cambridge, Massachusetts, MIT Press, 1988.
7. L. Greengard and J. Strain, "The Fast Gauss Transform," SIAM J. Scientific Computing, vol. 12, pp. 79-94, 1991.
8. B. Horn, "Closed-form Solution of Absolute Orientation using Unit Quaternions," Journal of the Optical Society of America A, vol. 4, no. 4, pp. 629-642, 1987.
9. D. A. Murio, The Mollification Method and the Numerical Solution of Ill-Posed Problems, J. Wiley & Sons, New York, 1993.
10. S. Rusinkiewics, and M. Levoy, "Efficient Variants of the ICP Algorithm," in Proc. of 3D Digital Imaging and Modeling, IEEE Computer Society Press, pp. 145-152, 2001.
11. F. A. Sedjadi and E. L. Hall, "Three-Dimensional Moment Invariants," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 2. no. 2, pp. 127-136, 1980.
12. G. C. Sharp, S. W. Lee, and D. K. Wehe, "ICP Registration using Invariant Features," IEEE Transactions on Pattern Analysis Machine Intelligence, vol. 24, no. 1, pp. 90-102, 2002
13. C. Yang, R. Duraiswami, N. A. Gumerov, L. Davis, "Improved fast gauss transform and efficient kernel density estimation," Proc. Ninth International Conference on Computer Vision, pp. 464-471, October, Nice, France, 2003.