Bayesian recognition of targets by parts in second generation forward looking infrared images

Image and Vision Computing

Volumn 18, Issue 10, 2000, Pages 849-864

  Nair, D ^a   Aggarwal, J K ^b  

^a NATIONAL INSTRUMENTS   (United States)

^b U ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERT SYSTEMS; INFRARED IMAGING; LEARNING SYSTEMS; MATHEMATICAL MODELS; OBJECT RECOGNITION;

BAYESIAN RECOGNITION; FORWARD LOOKING INFRARED IMAGES (FLIR);

PATTERN RECOGNITION SYSTEMS;

EID: 0033738115     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(99)00084-0     Document Type: Article

References (46)

1. McKee J.W., Aggarwal J.K. Computer recognition of partial views of curved objects. IEEE Transactions on Computers. C-26:(8):1977;790-800.
2. Grimson W.E.L. Object Recognition by Computer: The Role of Geometric Constraints. 1990;MIT Press, Cambridge, MA.
3. Koenderink J., van Doorn A. The internal representation of solid shape with respect to vision. Biological Cybernetics. 32:1979;211-216.
4. A. Pathak, O.I. Camps, Bayesian view class determination, in: IEEE Conference on Computer Vision and Pattern Recognition, 1993, pp. 407-412.
5. Zhang S., Sullivan G., Baker K. The automatic construction of a view-independent relational model for 3D object recognition. IEEE Transaction on Pattern Analysis and Machine Intelligence. 15:(6):1993;778-786.
6. J.B. Burns, E.M. Riseman, Matching complex images to multiple 3D objects using view description networks, in: IEEE Conference on Computer Vision and Pattern Recognition, 1992, pp. 328-334.
7. Petijean S., Ponce S., Kriegman D.J. Computing exact aspect graphs of curved objects: algebraic surfaces. International Journal on Computer Vision. 9:(3):1992;231-255.
8. A. Pope, Model-based object recognition-a survey of recent research, Technical Report TR-94-04, 1994.
9. Chen S., Jain A.K. Strategies of multi-view multi-matching for 3D object recognition. Computer Vision and Image Processing. 57:(1):1993;121-130.
10. Hu M. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory. February:1962;179-187.
11. Khotanzad A., Hong Y.H. Invariant image recognition by Zernike moments. IEEE Transactions on Pattern Analysis and Machine Intelligence. 00:1990;000.
12. Chen Z., Ho S. Computer vision for robust 3D aircraft recognition with fast library search. Pattern Recognition. 24:(5):1991;375-390.
13. Dudani S.A., Breeding K.J., McGhee R.B. Aircraft identification by moment invariants. IEEE Transactions on Computers. C-26:1977;39-46.
14. D.J. Mackay, Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks. To appear in Network, 1995.
15. Olson C.F. Probabilistic indexing for object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17:(5):1995;518-522.
16. W.M. Wells, Statistical object recognition, PhD thesis, MIT, Cambridge, MA, 1993.
17. Wheeler M., Ikeuchi K. Sensor modeling, probabilistic hypothesis generation, and robust localization for object recognition. IEEE Transaction on Pattern Analysis and Machine Intelligence. 17:(3):1995;252-265.
18. Arman F., Aggarwal J.K. Model-based object recognition in dense depth images - a review. AGM Computing Surveys. 25:(1):1993;5-43.
19. Bhanu B. Automatic target recognition: state of the art survey. IEEE Transactions on Aerospace and Electronic Systems. 22:(4):1986;364-379.
20. A. Pentland, Recognition by parts, in: First International Conference on Computer Vision, London, England, June 8-11 1987, pp. 612-622.
21. G.J. Ettinger, Large hierarchical object recognition using libraries of parameterized model sub-parts, in IEEE Conference on Computer Vision and Pattern Recognition, Ann Arbor, MI, June 5-9 1988, pp. 32-41.
22. Rivlin E., Dickinson S.J., Rosenfeld A. Recognition by functional parts. Computer Vision, Graphics and Image Processing. 62:(2):1995;164-176.
23. Biederman I. Human image understanding: recent research and a theory. Computer Vision, Graphics and Image Processing. 32:1985;29-73.
24. Siddiqi K., Kimia B.B. Parts of visual form: computational aspects. IEEE Transaction on Pattern Analysis and Machine Intelligence. 17:(3):1951;239-251.
25. Brooks R. Model-based 3-D interpretation of 2-D images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 5:(2):1983;140-150.
26. Dickinson S.J., Pentland A.P., Rosenfeld A. From volumes to views: An approach to 3-D object recognition. Computer Vision, Graphics and Image Processing: Image Understanding. 55:(2):1992;130-154.
27. Happel B., Murre J.M.J. Design and evolution of modular neural network architectures. Neural Networks. 7:1994;985-1004.
28. Livingston M., Hubel D. Segregation of form, color, movement and depth: anatomy, physiology, and perception. Science. 240:1988;740-749.
29. Szentagothai J. The 'module-concept' in the cerebral cortex architecture. Brain Research. 95:1975;475-496.
30. Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. 1988;Morgan Kaufmann, San Mateo, CA.
31. Dempster A.P., Laird N.M., Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. 39:1977;1-38.
32. Blum H. Biological shape and visual science. Journal of Theoretical Biology. 38:1973;205-287.
33. Shapiro L., Haralick R. Decomposition of two-dimensional shapes by graph theoretic clustering. IEEE Transaction on Pattern Analysis and Machine Intelligence. 1:(1):1979;10-20.
34. Nevatia R., Binford T.O. Description and recognition of curved objects. Artificial Intelligence. 8:1977;77-98.
35. Leclerc Y.G. Constructing simple stable description for image partioning. International Journal of Computer Vision. 3:1989;73-102.
36. Freeman H. Shape description via the use of critical points. Pattern Recognition. 10:1978;159-166.
37. Ramer U. An iterative procedure for the polygonal approximation of plane curves. Computer Vision, Graphics and Image Processing. 1:(3):1972;244-256.
38. Asada H., Brady M. The curvature primal sketch. IEEE Transactions on Pattern Analysis and Machine Intelligence. 5:(1):1983;2-14.
39. Hoffman D.D., Richards W.A. Parts of recognition. Cognition. 18:1985;65-96.
40. Richards W.A., Hoffman D.D. Codon constraints on closed 2D shapes. Computer Vision, Graphics and Image Processing. 31:(2):1985;156-177.
41. Leyton M. Symmetry-curvature duality. Computer Vision, Graphics and Image Processing. 38:(4):1987;327-341.
42. Kumaran K., Geiger D., Gurtvis L. Illusory surface perception and visual organization. Network: Computation in Neural Systems. 7:1996;33-60.
43. D. Nair, J.K. Aggarwal, A focused target segmentation paradigm, in: Fourth European Conference on Computer Vision, Cambridge, UK, 1, 1996, pp. 579-588.
44. Murre J.M.J., Phaf R.H., Wolters G. CALM: categorizing and learning module. Neural Networks. 5:1992;55-82.
45. Teh C.H., Chen R.T. On image analysis by the methods of moments. IEEE Transaction on Pattern Analysis and Machine Intelligence. 10:1988;496-513.
46. Abu-mostafa Y., Psaltis D. Image normalization by complex moments. IEEE Transactions on Pattern Analysis and Machine Intelligence. 7:(1):1985;46-55.