1. Lowe, D. Object recognition from local scale-invariant features / D. Lowe // Proc. of the Intern. Conf. on Computer Vision. - Washington, DC, USA, 1999. - Vol. 2. - P. 1150-1157.
2. Scovanner, P. A 3-dimensional sift descriptor and its application to action recognition /
3. P. Scovanner, S. Ali, M. Shah // Proc. of the 15th Intern. Conf. on Multimedia. - N.Y., USA, 2007. - P. 357-360.
4. SURF: Speeded Up Robust Features / H. Bay [et al.] // Computer Vision and Image Understanding (CVIU). - 2008. - Vol. 110, № 3. - P. 346-359.
5. Lindeberg, T. Scale-space theory: A basic tool for analysing structures at different scales /
6. T. Lindeberg // Journal of Applied Statistics (Supplement on Advances in Applied Statistics: Statistics and Images). - 1994. - Vol. 21 (2). - P. 224-270.
7. Lindeberg, T. Scale-space / T. Lindeberg // Encyclopedia of Computer Science and Engineering. - 2008. - Vol. IV. - P. 2495-2504.
8. Robust wide baseline stereo from maximally stable extremum regions / J. Matas [et al.] //
9. Proc. Brit. Machine Vision Conf. - Cardiff, UK, 2002. - P. 384-393.
10. Lindeberg, T. Detecting salient blob-like image structures and their scales with a scale-space
11. primal sketch: A method for focus-of-attention / T. Lindeberg // Int. J. Comput. Vis. - 1993. - Vol. 11. - P. 283-318.
12. Lindeberg, T. Feature detection with automatic scale selection / T. Lindeberg // Int. J. Comput. Vis. - 1998. - Vol. 30. - P. 77-116,.
13. A KFCM and SIFT Based Matching Approach to Similarity Retrieval of Images / P. Hao
14. [et al.] // Proc. of the Fifth Intern. Conf. on Image and Graphics (ICIG12009). - Xi1an, Shanxi, China, 2009. - P. 372-377.
15. Porikli, F. Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces /
16. F. Porikli // Proc. of the 2005 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (Cvpr'05). - Washington, 2005. - Vol. 1. - P. 829-836.