Design and performance in object recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1389, Issue , 1998, Pages 335-346

  Smeulders, Arnold W M ^a   de Boer, Carlo ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

OBJECT RECOGNITION;

CONCEPTUAL LEVELS; FIGURES OF MERITS; HAND IN HANDS; PERFORMANCE ANALYSIS; SOFTWARE CODES; SYSTEM ARCHITECTURES; VISION MODULES;

DESIGN;

EID: 0038606618     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-64381-8_61     Document Type: Conference Paper

References (22)

1. H. S. Baird. Document image defect models and their uses. In K.Yamarnoto, editor, Proc. ICDAR-93, pages 62-67. IEEE-Press, Los Alamitos, 1993.
2. R. Van Balen, T.ten Kate, D. Koelma, B. Mosterd, and A.W.M. Smeulders. Scil-image: A multi-layered environment for use and development of image processing software. In Christensen and JL Crowley, editors, Experimental Environments for Computer Vision and Image Processing, pages 107-126. World Scient Press, 1993.
3. J. A. Bergstra, J. Heering, and P. Klint. Algebraic specification. Addison-Wesley, 1989.
4. T.H. Gormen, C. E. Leiserson, and R.L. Rivest. Introduction to algorithms. MIT press, 1992.
5. C. de Boer and A.W.M. Smeulders. A novel approach towards simulating graphics for performance analysis purposes. In Proc. Workshop GREC 1997, 1997.
6. J.G. den Hartog. A framework for knowledge-based map interpretation. PhD thesis, Technische Universiteit Delft, Delft, 1995.
7. R. Kasturi et al. A system for recognition and description of graphics. In Proc. 9th IAPR, Rome, pages 255-259, 1988.
8. W. Förstner. 10 pro's and con's against performance characterization of vision algorithms. In Proc, Workshop on Performance Characteristics of Vision Algorithms, Cambridge, 1996.
9. R.M. Haralick. Comments on performance characterization replies. Computer Vision and Image Understanding, 60:264-265, 1994.
10. R.M. Haralick. Performance characterization in computer vision. Computer Vision and Image Understanding, 60:245-249, 1994.
11. R.M. Haralick. Performance characterization protocol in computer vision. In Morgan Kaufmann, editor, Proc., ARPA Image Understanding Workshop (Monterey, CA, November 13-16, 1994), pages 667-673, San Francisco, CA, 1994.
12. A. Hoover, G. Jean-Baptiste, X. Jiang, P. J. Flynn, H. Bunke, D. B. Goldgof, K. Bowyer, D. W. Eggert, A. Fitzgibbon, and R. B. Fisher. An experimental comparison of range image segmentation algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(7):673-689, July 1996.
13. S.H. Joseph and T.P. Prodmore. Knowledge directed interpretation of mechanical engineering drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 928-940, 1992.
14. T. Kanungo, M.Y. Jaisimha, J. Palmer, and R. M. Haralick. A methodology for quantitative performance evaluation of detection algorithms. IEEE Transactions on Image Processing, 4(12):1667-1674, 1995.
15. M.L. Kersten and F. Kwakkel. Design and implementation of a dbms performance assessment tool. In Proc. of the 4th intern. DEXA conference, pages 265-276, Prague, Czech Republic, 1993.
16. Kohl and Mundy. The development of the image understanding environment. In Proc. of the Conference on Computer Vision and Pattern Recognition, 1994.
17. B. Kong, I. T. Philips, R. M. Haralick, A. Prasad, and R. Kasturi. A benchmark: Performance evaluation of dashed-line detection algorithms. In R. Kasturi and K. Tombre, editors, Graphics Recognition - Methods and Applications, volume 1072 of Lecture Notes in Computer Science, pages 270-285. Springer-Verlag, May 1996.
18. M. Petrou, M. Marik, J. Kittler. Error sensitivity assessment of vision algorithms based on direct error propagation. In Proc, Workshop on Performance Characteristics of Vision Algorithms, Cambridge, 1996.
19. T. Yamada, S. Suzuki. Maris: map recognition input system. Pattern Recognition Letters, pages 919-933, 1990.
20. A. W. M. Smeulders and T. ten Kate. Software system design for paper map conversion. In R. Kasturi and K. Tombre, editors, Graphics Recognition - Methods and Applications, volume 1072 of Lecture Notes in Computer Science, pages 204-111. Springer-Verlag, May 1996.
21. R. v.d. Boomgaard. Mathematical Morphology: Extensions towards Computer Vision. PhD thesis, University of Amsterdam, 1992.
22. R. v.d. Boomgaard, L. Dorst, J. Schavemaker, and A.W.M. Smeulders. Quadratic structuring functions in mathematical morphology. In Mathematical Morphology and its applications to signal processing 3, 1996.