View publication | Laboratory of Mathematical Methods of Image Processing

Title	Gauss-Laguerre Keypoints Descriptors for Color Images
Publication type	Conference paper
Author(s)	A.S. Krylov, D.V. Sorokin
Publication date	2011
Conference	Proceedings of Visual Communication and Image Processing (VCIP'2011)
Page(s)	1-4
Address	Tainan, Taiwan
Abstract	Keypoints descriptors construction algorithm for color images is introduced. The algorithm is based on multiscale Gauss-Laguerre circular harmonic functions expansions of each image color component. The color components are obtained from color invariance model derived from Kubelka-Munk photometric reflectance theory. The matching results of proposed algorithm confirm the importance of color information for keypoints descriptors construction.
URL	PDF
Comment	Digital Object Identifier: 10.1109/VCIP.2011.6115922

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@INPROCEEDINGS{*,
  Title = {Gauss-Laguerre Keypoints Descriptors for Color Images},
  Author = {A. S. Krylov and D. V. Sorokin},
  BookTitle = {Proceedings of Visual Communication and Image Processing (VCIP'2011)},
  Year = {2011},
  Pages = {1--4},
  Address = {Tainan, Taiwan},
  Language = {english}
}