Keypoints and descriptors

Dmitry Sorokin, Andrey Krylov

Keypoints detection and local image descriptors construction is one of the basic problems in image analysis.

The keypoints detection and descriptors construction algorithms are based on Gauss-Laguerre circular harmonic functions (CHFs) image expansion. The interconnection between Gauss-Laguerre CHFs and 2D Hermite functions in conjunction with fast Hermite projection method is used to accelerate the computation.

The subjects of current research:

  • Improvement of stability of Gauss-Laguerre keypoints descriptors to a class of projective and photometric transformations
  • Extension of keypoints detection and descriptors construction to color images

Publications

2012

A. S. Krylov, D. V. Sorokin, D. V. Yurin, E. V. Semeikina. “Use of color information for keypoints detection and descriptors construction” // Lecture Notes in Computer Science, Intelligent Science and Intelligent Data Engineering, Vol. 7202, 2012, pp. 389−396. Springer.

D. V. Sorokin, A. S. Krylov. “A projection local image descriptor” // Pattern Recognition and Image Analysis, Vol. 22, No. 1, 2012, pp. 380−385. Springer.

2011

D. V. Sorokin, M. M. Mizotin, A. S. Krylov. “Gauss-Laguerre Keypoints Extraction Using Fast Hermite Projection Method” // In: International Conference on Image Analysis and Recognition (ICIAR'2011), Lecture Notes in Computer Science, Vol. 6753. Burnaby, BC, Canada, 2011, pp. 284−293. PDF.

A. S. Krylov, D. V. Sorokin. “Gauss-Laguerre Keypoints Descriptors for Color Images” // In: Proceedings of Visual Communication and Image Processing (VCIP'2011). Tainan, Taiwan, 2011, pp. 1−4. PDF.

D. V. Sorokin, A. S. Krylov. “Gauss–Laguerre–Hermite Method of Keypoint Extraction” // Pattern Recognition and Image Analysis, Vol. 21, No. 2, 2011, pp. 332−334. Springer.

2010

D. V. Sorokin, A. S. Krylov. “Fast Gauss-Laguerre Keypoints Extraction using 2D Hermite Functions” // In: Proceedings of 10th Conference on Pattern Recognition and Image Analysis: New Information Technologies, Vol. 1. St. Petersburg, Russia, 2010, pp. 339−342.