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Results: 363
Number of items: 363
  • Open Access
    Worring, M., & Smeulders, A. W. M. (1995). Digitalized circular arcs: characterization and parameter estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(6), 587-598. https://doi.org/10.1109/34.387505
  • Open Access
    Worring, M., van den Boomgaard, R., & Smeulders, A. W. M. (1995). Structured hyperdocument generation using OCR and icon detection. In Third International Conference on Document Analysis and Recognition, Montreal (pp. 1180-1183)
  • Worring, M. (1994). Time-sequence analysis of objects using a model based approach. In E. Backer (Ed.), Computing science in The Netherlands (pp. 332-339). CWI.
  • Worring, M., & Smeulders, A. W. M. (1994). Discrete circular arcs. In ICPR conference A: Computer vision and Image processing (pp. 174-178). IEEE Computer Society Press.
  • Worring, M., & Smeulders, A. W. M. (1994). Discrete circular arcs. In H. Niemann (Ed.), 11th IAPR International Conference on Pattern Recognition : August 30-September 3, 1992, The Hague, The Netherlands: proceedings. Vol. 1: Conference A: Computer vision and applications (pp. 174-178). IEEE Computer Society Press.
  • Open Access
    Worring, M., & Smeulders, A. W. M. (1994). Shape of an arbitrary finite point set in R^2. Journal of Mathematical Imaging and Vision, 4(2), 151-170.
  • Open Access
    Worring, M., Pfluger, P. R., Houtsmuller, A., & Smeulders, A. W. M. (1994). Measurement of 3D-line shaped objects. Pattern Recognition Letters, 15, 497-506. https://doi.org/10.1016/0167-8655(94)90141-4
  • Worring, M., Smeulders, A. W. M., Staib, L. H., & Duncan, J. S. (1993). Parameterized feasible boundaries in gradient vector fields. Lecture Notes in Computer Science, 48-61.
  • Worring, M., & Smeulders, A. W. M. (1993). Digital curvature estimation. Computer Vision, Graphics, and Image Processing, 58(3), 366-382.
  • Worring, M., & Smeulders, A. W. M. (1992). The accuracy and precision of curvature estimation methods. In 11th IAPR International Conference on Pattern Recognition, Part C (pp. 139-142). IEEE Computer Society Press.
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