Practicing vision: Integration, evaluation and applications

Pattern Recognition

Volumn 30, Issue 2, 1997, Pages 183-196

  Jain, Anil K ^a   Dorai, Chitra ^a  

^a Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; EVALUATION; FEATURE EXTRACTION; IMAGE ANALYSIS;

BIOMETRY; MULTI SENSOR FUSION; SYSTEM INTEGRATION;

COMPUTER VISION;

EID: 0031061993     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(96)00073-8     Document Type: Article

References (61)

1. N. Negroponte, Being Digital. Knopf, New York (1995).
2. The Federal High Performance Computing Program, Office of Science and Technology Policy, Washington, D.C. (September 1989).
3. D.S. Weld, ed., The role of intelligent systems in the National Information Infrastructure, AI Magazine 16(3), 45-64 (1995).
4. R&D for the NII: Technical challenges. EDUCOM, Washington, D.C. (March 1994).
5. D. H. Ballard and C. M. Brown, Computer Vision. Prentice-Hall, Englewood Cliffs, New Jersey (1982).
6. R. M. Haralick and L. G. Shapiro, Computer and Robot Vision. Addison-Wesley, Reading, Massachusetts (1993).
7. S. Pankanti and A. K. Jain, Integrating vision modules: Stereo shading grouping and line labeling, IEEE Trans. Pattern Analysis Mach. Intell. 17(9), 831-842 (September 1995).
8. S. Negahdaripour and A. K. Jain, Challenges in computer vision research: Future directions of research, in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 189-199, Champaign, Illinois (June 1992).
9. J. Hollingum, Machine Vision: The Eyes of Automation. Springer, New York (1984).
10. B. R. Mackie, Machine vision in process control: Into the manufacturing mainstream, Advanced Imaging 8(1), 32-36 (1993).
11. T. Pavlidis, Why progress in machine vision is so slow?, Pattern Recognition Lett. 13(4), 221-226 (1992).
12. R. Chellappa and A. Rosenfeld, Vision engineering: Designing computer vision systems, Handbook of Pattern Recognition and Computer Vision, C. H. Chen, L. F. Pau and P. S. P. Wang, eds, pp. 805-815. World Scientific, Singapore (1993).
13. P. Kahn, Building blocks for computer vision system, IEEE Expert 8(6), 40-50 (1993).
14. S. Nadabar, H. H. Hazz and R. S. Anbalagan, Machine vision system for high speed discrete parts inspection, in Proc. SPIE Optical Engineering Midwest '95 Conf., Chicago (1995).
15. Y. Fujita, N. Yamashita and S. Okazaki, A 64 parallel integrated memory array processor and a 30 GIPS real-time vision system, in Proc. of Computer Architecture for Machine Perception, Como, 242-249 (1995).
16. G. M. Quenot, I. C. Kraljic, J. Serot and B. Zavidovique, A reconfigurable compute engine for real-time vision automata prototyping, in Proc. 2nd IEEE Workshop on FPGAs for Custom Computing Machines, D. A. Buell and K. L. Poek, eds, pp. 91-101, IEEE (1994).
17. P. M. Athanas and A. Lynn Abbott, Real-time image processing on a custom-computing platform, IEEE Computer 28(2), 16-24 (February 1995).
18. M. A. Abidi and R. C. Gonzalez, Data Fusion in Robotics and Machine Intelligence. Academic Press, New York (1992).
19. Q. Huang, B. Dom, D. Steele, J. Ashley and W. Niblack, Foreground/background segmentation of color images by integration of multile cues, in Proc. Int. Conf. Image Pro-cessing, Vol. I, 246-249, Washington D.C. (October 1995).
20. J. A. Benediktsson and P. H. Swain, Consensus theoretic classification methods, IEEE Trans. Systems Man Cybernet. 22, 688-704 (1992).
21. L. Xu, A. Krzyzak and C. Y. Suen, Methods of combining multiple classifiers and their applications to handwritten recognition, IEEE Trans. Systems Man Cybernet. 22, 418-435 (1992).
22. H. Rogova, Combining the results of several neural network classifiers, Neural Networks 7, 777-781 (1994).
23. M. I. Jordan and R. A. Jacobs, Hierarchical mixtures of experts and the EM algorithm, Neural Computation 6, 181-214 (1994).
24. K. Tumer and J. Ghosh, Analysis of decision boundaries in linearly combined neural classifiers, Pattern Recognition 29, 341-348 (1996).
25. S. Sarkar and K. L. Boyer, Integration inference and management of spatial information using Bayesian networks: Perceptual organization, IEEE Trans. Pattern Analysis Mach. Intell. 15, 256-274 (1993).
26. S. G. Nadabar and A. K. Jain, Edge detection and labeling by fusion of intensity and range images, Proc. of SPIE Conf. on Applications of AI: Machine Vision and Robotics 1708, 108-119 (1992).
27. A. Jepson and W. Richards, A lattice framework for integrating vision modules, IEEE Trans. Systems Man Cybernet. 22, 1087-1096 (1992).
28. H. I. Bozma and J. S. Duncan, A game-theoretic approach to integration of modules, IEEE Trans. Pattern Analysis and Machine Intelligence 16(11), 1074-1086 (November 1994).
29. M. Kass, A. Witkin and D. Terzopoulos, Snakes: Active contour models, Int. J. Computer Vision 1, 321-331 (1988).
30. T. Poggio, V. Torre and C. Koch, Computational vision and regularization theory, Nature 317, 638-643 (1985).
31. A. Blake and A. Zisserman, Visual Reconstruction. MIT Press, Cambridge, Massachusetts (1987).
32. A. Schistad Solberg, T. Taxt and A. K. Jain, A Markov random field model for classification of multisource satellite imagery, IEEE Trans. Geoscience and Remote Sensing 34, 100-113 (January 1996).
33. R. Chellappa and A. K. Jain, eds., Markov Random Fields: Theory and Application. Academic Press, San Diego (1993).
34. S. Z. Li, Markov Random Field Modeling in Computer Vision. Springer, Tokyo (1995).
35. M. Tuceryan and A. K. Jain, Texture analysis, Handbook of Pattern Recognition and Computer Vision, C. H. Chen, L. F. Pau and P. S. P. Wang, eds, pp. 235-276. World Scientific, Singapore (1993).
36. A. K. Jain and B. Chandrasekaran, Dimensionality and sample size considerations in pattern recognition practice, Handbook of statistics, P. R. Krishniah and L. N. Kanal, eds, Vol. II, pp. 835-855. North-Holland, Amsterdam (1982).
37. D. Zongker and A. K. Jain, Algorithms for feature selection: An evaluation, Technical Report, Department of Computer Science, Michigan State University (December 1995).
38. A. Schistad Solberg and A. K. Jain, A study of the relative properties of texture features in SAR images, Intl. Conf. Geosc. Rem. Sens, pp. 670-672, Florence, Italy (1995) (1985).
39. K. Mohiuddin and J. Mao, A comparative study of different classifiers for handprinted character recognition, Pattern Recognition in Practice IV, E. S. Gelsema and L. N. Kanal, eds, pp. 437-448. Elsevier Science, The Netherlands (1994).
40. G. Friesen, Suddenly, OCR is a "Must BUY", Imaging Magazine 22-25 (1992).
41. A. P. Pentland, Perceptual organization and the representation of natural form, Artificial Intell. 28, 293-331 (May 1986).
42. N. S. Raja and A. K. Jain, Recognition geons from superquadrics fitted to range data, Image Vision Comput. 10(3), 179-190 (1992).
43. R. Haralick, Performance assessment of near-perfect machines, Mach. Vision Appl. 2(1), 1-16 (1989).
44. M. Y. Jaisimha, R. Haralick and Dov Dori, Quantitative performance evaluation of thinning algorithms under noisy conditions, in Proc IEEE Conf. Computer Vision and Pattern Recognition, pp. 678-683, Seattle (June 1994).
45. S. Randriamasy and L. Vincent, Benchmarking page segmentation algorithms, in Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 411-416, Seattle (June 1994).
46. Q. Huang and B. Dom, Quantitative methods of evaluating image segmentation, in Proc. Int. Conf. Image Processing, Vol. III, pp. 53-56, Washington D.C. (October 1995).
47. R. Dubes and A. K. Jain, Clustering techniques: The user's dilemma, Pattern Recognition 8, 247-260 (1976).
48. Øivind Due Trier and A. K. Jain, Goal-directed evaluation of binarization methods, IEEE Trans. Pattern Analysis Mach. Intell. 17(12), 1191-1201 (December 1995).
49. B. Miller, Vital signs of identity, IEEE Spectrum 31(2), 22-30 (February 1994).
50. N. Ratha, S. Chen and A. K. Jain, Adaptive flow orientation based feature extraction in fingerprint images, Pattern Recognition 28, 1157-1672 (November 1995).
51. K. Karu and A. K. Jain, Fingerprint classification. Pattern Recognition 29(3), 389-404 (1996).
52. B. Yu and A. K. Jain, Model free form drop-out, IEEE Trans. Pattern Analysis Mach. Intell. (to appear) (1996).
53. L. Beilski, 20 million photos will be digitized at Time Warner: The image database of the future begins, Advanced Imaging, pp. 26-28 (October 1995).
54. J. Feder, Toward image content-based retrieval for the world wide web, Advanced Imaging. pp. 26-28 (January 1996).
55. A. P. Pentland, R. W. Picard and S. Sclaroff, Photobook: Content-based manipulation of image databases, SPIE Vol 2185: Storage and Retrieval for Image and Video Databases II, pp. 34-47 (February 1994).
56. A. K. Jain and A. Vailaya, Image retrieval using color and shape, in Proc. Second Asian Conf. Computer Vision, Vol. II, pp. 529-533, Singapore (December 1995).
57. A. K. Jain, Yu Zhong and S. Lakshmann, Object matching using deformable templates, IEEE Trans. Pattern Analysis Mach. Intell. 18(3), 267-278 (March 1996).
58. C. R. Mercer and G. Beheim, Fiber-optic projected-fringe digital interferometry, in Hologram Interferometry and Speckle Metrololgy Proceedings, pp. 210-216, Bethel, Connecticut, Society for Experimental Mechanics (1990).
59. C. Dorai, J. Weng and A. K. Jain, Optimal registration of multiple range views, in Proc. 12th Int. Conf. Pattern Recognition, pp. 569-571, Jerusalem. Israel (October 1994).
60. A. Penzias, Ideas and Information: Managing in a High-Tech World. W. W. Norton, New York (1989).
61. 20th Anniversary Report. Tommorrow's top five software categories, Byte 20(9), 68 (September 1995).