Quasi-invariants for recognition of articulated and non-standard objects in SAR images

Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999

Volumn , Issue , 1999, Pages 88-97

  Jones, Grinnell ^a   Bhanu, Bir ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; INVARIANCE; SYNTHETIC APERTURE RADAR; TANKS (MILITARY);

ARTICULATED OBJECT; CONFUSION MATRICES; PUBLIC DATA; RECOGNITION ENGINES; RECOGNITION MODELS; ROC CURVES; SCATTERING CENTERS; TURRET ROTATION;

RADAR IMAGING;

EID: 84963843440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVBVS.1999.781098     Document Type: Conference Paper

References (11)

1. A. Beinglass, and H. Wolfson. \Articulated object recognition, or: How to generalize the generalized Hough transform, " Proc. IEEE Conf. on Com-puter Vision and Pattern Recognition, pp. 461-466, June 1991.
2. B. Bhanu, G. Jones, and J. Ahn. \Recognizing ar-Ticulated objects and object articulation in syn-Thetic aperture radar imagery, " SPIE Proceedings: Algorithms for Synthetic Aperture Radar Imagery V, Orlando, FL, April 1998.
3. D. Casasent, and R. Shenoy. \Detection and clas-sification in SAR using MINACE correlationl-Ters, " SPIE Proceedings: Algorithms for Synthetic Aperture Radar Imagery II, Vol. 2487, pp. 211-224, Orlando, Fl, April 1995.
4. Y. Hel-Or, and M. Werman, \Recognition and localization of articulated objects, " Proc. IEEE Workshop on Motion of Non-Rigid and Articu-lated Objects, pp. 116-123, Austin, TX, November 11-12, 1994.
5. K. Ikeuchi, T. Shakunga, M. Wheeler, and T. Yamazaki. \Invariant histograms and deformable template matching for SAR target recognition, " Proc. IEEE Conf. on Computer Vision and Pat-Tern Recognition, pp. 100-105, June 1996.
6. G. Jones, and B. Bhanu. \Recognition of articu-lated and occluded objects, " IEEE Transactions on Pattern Analysis and Machine Intelligence, in press
7. Khoros Pro v2.2 User's Guide, Addison Wesley Longman Inc., 1998.
8. Y. Lamden, and H. Wolfson. \Geometric hashing: A general and eficient model-based recognition scheme, " Proc. International Conference on Com-puter Vision, pp. 238-249, December 1988.
9. L. Novak, G. Owirka, and C. Netishen, \Radar target identification using spatial matched filters." In Pattern Recognition, Vol. 27, No. 4, pp. 607-617, 1994.
10. J. Verly, R. Delanoy, and C. Lazott. \Principles and evaluation of an automatic target recognition system for synthetic aperture radar imagery based on the use of functional templates, " SPIE Proceed-ings: Automatic Target Recognition III, vol 1960, pp. 57-71, Orlando, FL, April 1993.
11. A. Waxman, M. Seibert, A. Bernardon, and D. Fay. \Neural systems for automatic target learning and recognition, " The Lincoln Laboratory Journal, Vol. 6, No. 1, pp. 77-116, 1993.