Efficient 3D registration using two-stage scheme and spatial filter

International Journal of Innovative Computing, Information and Control

Volumn 6, Issue 2, 2010, Pages 641-653

  Chang, Yau Zen ^a   Tsai, Zhi Ren ^b  

^a CHANG GUNG UNIVERSITY   (Taiwan)

^b ASIA UNIVERSITY   (Taiwan)

Author keywords

Evolutionary computation; Image guided therapy; Iterative closest point; Rigid body registration; Spatial filter

Indexed keywords

EVOLUTIONARY COMPUTATIONS; IMAGE GUIDED THERAPY; ITERATIVE CLOSEST POINTS; RIGID BODY; SPATIAL FILTERS;

CALCULATIONS; COMPUTATIONAL EFFICIENCY; MEDICAL APPLICATIONS; THREE DIMENSIONAL;

DATA REDUCTION;

EID: 77649280349     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. D. L. G. Hill and P. Batchelor, Registration methodology: Concepts and algorithms, in Medical Image Registration, J. V. Hajnal, D. L. G. Hill and D. J. Hawkes (eds.), CRC Press, 2001.
2. P. A. Woerdeman, P. W. A. Willems, H. J. Noordmans, C. A. F. Tulleken, V. D. Sprenkel and W. B. Jan, The impact of workflow and volumetric feedback on frameless image-guided neurosurgery, Nurosurgery, vol.64, no.3, pp.170-176, 2009.
3. T. M. Moriarty, Q. H. Alfredo, P. S. Larson, E. Alexander, P. L. Gleason, R. B. Schwartz, F. A. Jolesz and P. M. Black, Frameless stereotactic neurosurgery using intraoperative magnetic resonance imaging: Stereotactic brain biopsy, Neurosurgery, vol.47, no.5, pp.1138-1146, 2000.
4. T. S. Yoo, Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis, 1st Ed., AK Peters, 2004.
5. S. M. Bhandarkar, A. S. Chowdhury, T. Yarong, Y. Jack and E. W. Tolllner, Surface matching algorithms computer aided reconstructive plastic surgery, Proc. of IEEE International Symposium on Biomedical Imaging: Nano to Macro, vol.1, pp.740-743, 2004.
6. J. Li, S. Chu, J. Ho and J. Pan, Adaptive data-dependent matrix norm based Gaussian kernel for facial feature extraction, Inernational Journal of Innovative Computing, Information and Control, vol.3, no.5, pp.1263-1272, 2007.
7. S. K. Alex and L. Y. Kang, Face detection and tracking utilizing enhanced CAMSHIFT model, International Journal of Innovative Computing, Information and Control, vol.3, no.3, pp.597-608, 2007.
8. P. J. Besl and N. D. McKay, A method for registration of 3D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, no.2, pp.239-256, 1992.
9. Y. Chen and G. Medioni, Object modeling by registration of multiple range images, Proc. of IEEE Int. Conf. on Robotics and Automation, Sacramento, CA, vol.3, pp.2724-2729, 1991.
10. T. Jost and H. Hugli, A multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images, Proc. of the 4th Int. Conf. on 3D Digital Imaging and Modeling, pp.427-433, 2003.
11. D. Chetverikov, D. Stepanov and P. Krsek, Robust Euclidean alignment of 3D point sets: The trimmed iterative closest point algorithm, Image and Vision Computing, vol.23, no.3, pp.299-309, 2005.
12. M. Greenspan and M. Yurick, Approximate K-D tree search for efficient ICP, Proc. of the 4th Int. Conf. on 3-D Digital Imaging and Modeling, pp.442-448, 2003.
13. J. D. Lee, S. S. Hsieh and C. H. Huang, An adaptive ICP registration for facial point data, The 18th Int. Conf. on Pattern Recognition, Hong Kong, pp.20-24, 2006.
14. X. Han, Y. Chen and J. Lei, A spatio-chromatic ICA based noise reduction in color images, International Journal of Innovative Computing, Information and Control, vol.4, no.3, pp.661-670, 2008.
15. M. Weng and M. He, Image detection based on Susan method and integrated feature matching, International Journal of Innovative Computing, Information and Control, vol.4, no.3, pp.671-680, 2008.
16. S. Rusinkiewicz and M. Levoy, Efficient variants of the ICP algorithm, Proc. of the 3rd Int. Conf. on 3-D Digital Imaging and Modeling, pp.145-152, 2001.
17. S. M. Yamany, M. N. Ahmed and A. A. Farag, A new genetic-based technique for matching 3-D curves and surfaces, Pattern Recognition, vol.32, no.10, pp.1817-1820, 1999.
18. I. T. Jolliffe, Principal Component Analysis, 2nd Ed., Springer, New York, 2002.
19. E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. D. Croz, A. Greenbaum, S. Hammarling, A. McKenney and D. Sorensen, LAPACK User's Guide, 3rd Ed., http://www.netlib.org/lapack/lug/lapacklug.html, SIAM, Philadelphia, 1999.
20. Y. Z. Chang, J. Chang and C. K. Huang, Parallel genetic algorithms for a neuro-control problem, Int. Joint Conf. on Neural Networks, Washington D.C., USA, pp.10-16, 1999.
21. P. Bergstr and S. Guy, A K-D Tree for Closest-Point Search, http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId= 4586&objectType=file, 2007.