International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
In this study, the review of the most common methods of critical point comparison are analyzed during the solution of various problems of image processing such as, the formation of panoramic images. The order of singular point descriptor obtaining is analyzed, the main types of singular points are revealed and the property characteristics are described obtained by descriptor construction with which may assess their effectiveness. The descriptions of the following descriptors are presented: SIFT, PCA-SIFT, SURF, GLOH, DAISY, BRIEF. The principles and features of their research are described.
How to cite this article:
Igor S. Konstantinov, Boris J. Shuljak, Sergej A. Lazarev and Alexandr N. Zalivin. Singular Point Comparisons During Panoramic Image Formation.
DOI: https://doi.org/10.36478/ijscomp.2015.454.457
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2015.454.457