Autors: Nikolova, I. N.
Title: Performance Analysis of Robust Image Features Detection Algorithms
Keywords: image processing, image features detection and description,

Abstract: This paper deals with the challenging task of acquiring stable image features in a sequence of images of the same scene taken under different viewing positions by digital still camera. Two popular contemporary algorithms for discrete feature detection: SIFT and SURF are regarded. The results of timing performance analysis of their sequential implementations are presented and discussed. The performance speedup analysis and scalability tests with multi-threading and GPU-based implementations are analyzed.

References

    Issue

    SAI, pp. 16, 2014, Bulgaria, SAI, ISSN 1312-2622

    Цитирания (Citation/s):
    1. Yue, Chenchen, Wangsheng Yu, Zhiqiang Hou, and Sugang Ma. “Visual Tracking Algorithm Based on Color Name Histogram.” IOP Conference Series: Materials Science and Engineering, vol. 790, no. 1, IOP Publishing, 2020, article 012063. https://doi.org/10.1088/1757-899X/790/1/012063 - 2020 - в издания, индексирани в Scopus и/или Web of Science

    Вид: статия в списание, публикация в реферирано издание, индексирана в Google Scholar