A comparative study of grayscale conversion techniques applied to SIFT descriptors

Authors

  • Samuel Macêdo Universidade Federal de Pernambuco
  • Givânio Melo Universidade Federal de Pernambuco
  • Judith Kelner Universidade Federal de Pernambuco

DOI:

https://doi.org/10.5753/jis.2015.662

Abstract

In computer vision, gradient-based tracking is usually performed from monochromatic inputs. However, a few research studies consider the influence of the chosen color-tograyscale conversion technique. This paper evaluates the impact of these conversion algorithms on tracking and homography calculation results, both being fundamental steps of augmented reality applications. Eighteen color-to-greyscale algorithms were investigated. These observations allowed the authors to conclude that the methods can cause significant discrepancies in the overall performance. As a related finding, experiments also showed that pure color channels (R, G, B) yielded more stability and precision when compared to other approaches.

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Published

2015-12-01

How to Cite

MACÊDO, S.; MELO, G.; KELNER, J. A comparative study of grayscale conversion techniques applied to SIFT descriptors. Journal on Interactive Systems, Porto Alegre, RS, v. 6, n. 2, 2015. DOI: 10.5753/jis.2015.662. Disponível em: https://sol.sbc.org.br/journals/index.php/jis/article/view/662. Acesso em: 29 mar. 2024.

Issue

Section

Special Issue - SVR 2015