|
Rotation-invariant target recognition in LADAR range imagery using model matching approach |
Optics Express, Vol. 18, Issue 15, pp. 15349-15360 (2010)
http://dx.doi.org/10.1364/OE.18.015349
Enhanced HTML 
Acrobat PDF (1194 KB)
Abstract
Shape index is introduced to explore the target recognition problem from laser radar (Ladar) range imagery. A raw Ladar scene range image is transformed into a height-range image and a horizontal-range image. Then they are compared with a model library in which every model target includes six selected samples based on the principles of raising recognition rate and shortening computation time. We experimentally demonstrate that the proposed recognition approach can resolve the out-of-plane and rotation-invariant target recognition problem with a high recognition rate.
© 2010 OSA
ToC Category:
Image Processing
History
Original Manuscript: May 5, 2010
Revised Manuscript: June 16, 2010
Manuscript Accepted: June 18, 2010
Published: July 2, 2010
Citation
Qi Wang, Li Wang, and Jianfeng Sun, "Rotation-invariant target recognition in LADAR range imagery using model matching approach," Opt. Express 18, 15349-15360 (2010)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-18-15-15349
Sort: Year | Journal | Reset
References
- J. G. Verly, R. L. Delanoy, and D. E. Dudgeon, “Model-based system for automatic target recognition from forward-looking laser-radar imagery,” Opt. Eng. 31(12), 2540–2552 (1992). [CrossRef]
- K. Mori, T. Takahashi, and I. Ide, “Fog density recognition by in-vehicle camera and millimeter wave radar,” Int. J. Control 3(5), 1173–1182 (2007).
- N. R. Pal, T. C. Cahoon, J. C. Bezdek, and K. Pal, “A new approach to target recognition for Ladar data,” IEEE Trans. Fuzzy Syst. 9(1), 44–52 (2001). [CrossRef]
- J. Sun, O. Li, W. Lu, and Q. Wang, “Image recognition of laser radar using linear SVM correlation filter,” Chin. Opt. Lett. 5(9), 549–551 (2007).
- N. A. Watts, “Calculating the principal views of a polyhedron,” In Proceedings of the 9th International Conference on Pattern Recognition, 316–322 (1988).
- D. Eggert and K. Bowyer, “Computing the perspective projection aspect graph of solids of revolution,” IEEE Trans. Pattern Anal. Mach. Intell. 15(2), 109–128 (1993). [CrossRef]
- V. Shantaram, and M. Hanmandlu, “Contour-based matching technique for 3D object recognition,” in Proceedings of the International Conference on Information Technology, 274–279 (2002).
- Y. S. and A. Farag, “3D objects coding and recognition using surface signatures,” in Proceedings of the 15th International Conference on Pattern Recognition 4, 571–574 (2000).
- A. Johnson, Ph. D. thesis, “A Representation for 3-D Surface Matching,” (Robotics Institute, Carnegie Mellon University, Pittsburgh, 1997).
- S.-H. Hong and B. Javidi, “Distortion-tolerant 3D recognition of occluded objects using computational integral imaging,” Opt. Express 14(25), 12085–12095 (2006). [CrossRef] [PubMed]
- S. Correa, and L. Shapiro, “A new signature-based method for efficient 3-D object recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 1, 769–776 (2001).
- Q. Wang, Q. Li, Z. Chen, J. Sun, and R. Rao, “Range image noise suppression in laser imaging system,” Opt. Laser Technol. 41(2), 140–147 (2009). [CrossRef]
- D. Chitra, and K. J. Anil, “Shape spectra based view grouping for free-form objects,” in the 1995 International Conference on Image Processing 3, 340–343 (1995).
- P. J. Flynn, and A. K. Jain, “On reliable curvature estimation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 110–116 (1989).
- H. Chen and B. Bhanu, “3D free-form object recognition in range images using local surface patches,” Pattern Recognit. Lett. 28(10), 1252–1262 (2007). [CrossRef]
- P. J. Besl and R. C. Jain, “Segmentation through variable-order surface fitting,” IEEE Trans. Pattern Anal. Mach. Intell. 10(2), 167–192 (1988). [CrossRef]
- Z. Y. Zhang, “Iterative point matching for registration of free-form curves and surfaces,” Int. J. Comput. Vis. 13(2), 119–152 (1994). [CrossRef]
- A. N. Vasile and R. M. Marino, “Pose-independent automatic target detection and recognition using 3D laser radar imagery,” Lincoln Lab. J. 15(1), 61–78 (2005).
- W. Li, S. Jianfeng, and W. Qi, “Model-based algorithm for rotation-invariant target recognition using laser radar range imager,” J. Russ. Laser Res. 30(6), 615–625 (2009). [CrossRef]
Cited By |
 Alert me when this paper is cited |
OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.
Figures
|
|
|
|
| Fig. 1 | Fig. 2 | Fig. 3 |
|
|
|
|
| Fig. 4 | Fig. 5 | Fig. 6 |
|
|
|
|
| Fig. 7 | Fig. 8 | Fig. 9 |
|
|
|
|
| Fig. 10 | Fig. 11 | Fig. 12 |
|
|
|
|
| Fig. 13 | Fig. 14 | Fig. 15 |
« Previous Article | Next Article »
OSA is a member of 