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Results: 308
Number of items: 308
  • Gevers, T., Smeulders, A. W. M., & Stokman, H. (1998). Photometric invariant region detection. In M. Nixon, & J. Carter (Eds.), BMVC 98: proceedings of the 9th British Machine Vision Conference, University of Southampton, UK, September 14-17, 1998 (pp. 659-669). British Machine Vision Association. https://doi.org/10.5244/C.12.66
  • Smeulders, A. W. M., Kersten, M. L., & Gevers, T. (1998). Computer vision and image search engines. In D. Hiemstra, F. de Jong, & K. Netter (Eds.), TWLT 14: Language technology in multimedia retrieval (pp. 107-116). Universiteit Twente.
  • Smeulders, A. W. M., Kersten, M. L., & Gevers, T. (1998). Crossing the divide between computer vision and databases in search for image databases. In W. Klas, & Y. Ioannidis (Eds.), Visual Database Systhems 4 (VDB4) (pp. 223-239)
  • Smeulders, A. W. M., Kersten, M. L., & Gevers, T. (1998). Computer vision and image search engines. In R. Schettinii, & A. Del Bimbo (Eds.), Image and video content based retrieval (pp. 1-12)
  • Stokman, H. M. G., & Gevers, T. (1998). Color measurement of printed textile using CCD cameras. In ASCI 98
  • Gevers, T., & Smeulders, A. W. M. (1998). Image Indexing using composite color ans shape invariant features. In Proceedings of sixth international conference on computer vision ICCV'98 (pp. 576-582). Narosa Publishing house.
  • Gevers, T., Ghebreab, S., & Smeulders, A. W. M. (1998). Color invariant snakes. In M. S. Nixon, & P. H. Lewis (Eds.), Proc. of the 9th British machine vision conference (pp. 659-670)
  • Mandl, R., Gevers, T., & Smeulders, A. W. M. (1998). A comparitive study of matching measure for localisation of contour objects in images. WINS (oud WINS).
  • Gevers, T., & Smeulders, A. W. M. (1998). Image retrieval by multi-scale illumination invariant indexing. In A. W. M. Smeulders, & H. Ip (Eds.), Proc. of the IAPR International workshop on multimedia information analysis\& retrieval (pp. 96-108)
  • Open Access
    Gevers, T., & Smeulders, A. W. M. (1997). Edge steered region segmentation by photometric color invariant. In M. Frydrych, A. Visa, & J. Parkkinen (Eds.), Proceedings of 10th Scandinavian Conference on Image Analysis (pp. 869-877)
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