OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 45, Iss. 31 — Nov. 1, 2006
  • pp: 8083–8091

Pose and position tracking with super image vector inner products

Wei Su and Laurence G. Hassebrook  »View Author Affiliations


Applied Optics, Vol. 45, Issue 31, pp. 8083-8091 (2006)
http://dx.doi.org/10.1364/AO.45.008083


View Full Text Article

Enhanced HTML    Acrobat PDF (2180 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

We introduce a new and efficient distortion-invariant super image tracker and pose estimator based on a linear phase coefficient composite filter. The super image consists of a weighted sum of training images chosen to span the distortion range under analysis. Unlike correlation-based composite filter design, the super image is implemented by means of a complex vector inner product operation. A super image vector inner product is implemented by elementwise multiplication of a super image template by a window of interest in the input scene and summation of the elementwise operations. The resulting amplitude indicates target detection, and the resulting phase indicates the value of scale, orientation, or movement of the target object. The mathematical characteristics of the super image vector inner product are presented, and its application is demonstrated.

© 2006 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(100.5760) Image processing : Rotation-invariant pattern recognition
(100.6890) Image processing : Three-dimensional image processing

History
Original Manuscript: February 7, 2006
Revised Manuscript: May 25, 2006
Manuscript Accepted: July 29, 2006

Citation
Wei Su and Laurence G. Hassebrook, "Pose and position tracking with super image vector inner products," Appl. Opt. 45, 8083-8091 (2006)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-45-31-8083


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. A. Vander Lugt, "Signal detection by complex spatial filtering," IEEE Trans. Inf. Theory 10, 139-145 (1964). [CrossRef]
  2. B. V. K. Vijaya Kumar, "Tutorial survey of composite filter designs for optical correlators," Appl. Opt. 31, 4773-4801 (1992). [CrossRef] [PubMed]
  3. G. Ravichandran and D. Casasent, "Minimum noise and correlation energy optical correlation filter," Appl. Opt. 31, 1823-1833 (1992). [CrossRef] [PubMed]
  4. A. Mahalanobis, B. V. K. Vijaya Kumar, S. Song, S. R. F. Sims, and J. F. Epperson, "Unconstrained correlation filters," Appl. Opt. 33, 3751-3759 (1994). [CrossRef] [PubMed]
  5. V. R. Riasati and M. A. G. Abushagur, "Projection-slice synthetic discriminant functions for optical pattern recognition," Appl. Opt. 36, 3022-3034 (1997). [CrossRef] [PubMed]
  6. C. F. Hester and D. Casasent, "Multivariant technique for multiclass pattern recognition," Appl. Opt. 19, 1758-1761 (1980). [CrossRef] [PubMed]
  7. L. G. Hassebrook, B. V. K. Vijaya Kumar, and L. Hostetler, "Linear phase coefficient composite filter banks for distortion-invariant optical pattern recognition," Opt. Eng. 29, 1033-1043 (1990). [CrossRef]
  8. W. Su, L. G. Hassebrook, and V. G. Yalla, "Active mulitspot projection for object tracking and recongnition," in Optical Information Systems II, B. Javidi and D. Psaltis, eds., Proc. SPIE 5557,223-232 (2004).
  9. M. E. Lhamon, L. G. Hassebrook, and R. Daley, "Distortion-invariant optical pattern recognition without correlation," in Optical Pattern Recognition VI, D.P. Casasent and T.-H. Chao, eds., Proc. SPIE 2490,278-290 (1995).
  10. M. E. Lhamon and L. G. Hassebrook, "Translation-invariant optical pattern recognition without correlation," Opt. Eng. 35, 2700-2709 (1996). [CrossRef]
  11. L. G. Hassebrook, M. E. Lhamon, M. Wang, and J. P. Chatterjee, "Distortion parameter estimation using complex distortion-invariant correlation filter bank responses," in Optical Pattern Recognition VI, D.P. Casasent and T.-H. Chao, eds., Proc. SPIE 2490,64-76 (1995).
  12. L. G. Hassebrook, M. E. Lhamon, M. Wang, and J. Chatterjee, "Postprocessing of correlation for orientation estimation," Opt. Eng. 36, 2710-2718 (1997). [CrossRef]
  13. W. J. Chimitt and L. G. Hassebrook, "Scene reconstruction from partially overlapping images with use of composite filters," J. Opt. Soc. Am. A 16, 2124-2135 (1999). [CrossRef]
  14. M. E. Lhamon, L. G. Hassebrook, and J. P. Chatterjee, "Complex spatial images for multi-parameter distortion-invariant optical pattern recognition and high level morphological transformations," in Optical Pattern Recognition VII, D. Casasent, ed., Proc. SPIE 2752,23-30 (1996).
  15. R. W. Cohn and L. G. Hassebrook, "Representation of fully complex functions on real-time spatial light modulators," in Optical Information Processing, F.T.S. Yu and S. Jutamulia, eds. (Cambridge U. Press, 1998), pp. 396-432.
  16. M. E. Lhamon, L. G. Hassebrook, and J. P. Chatterjee, "Complex spatial images for rotation-invariant pattern recognition and gray level morphological transforms," Asian J. Phys. 8, 347-354 (1999).
  17. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes in C: the Art of Scientific Computing (Cambridge U. Press, 1992).
  18. A. Alsamman and M. S. Alam, "Face recognition through pose estimation and fringe-adjusted joint transform correlation," Opt. Eng. 42, 560-567 (2003). [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.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited