Performance evaluation of feature point descriptors in the infrared domain


Abstract:

This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results obtained when images from the visible spectrum are considered. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.

Año de publicación:

2014

Keywords:

  • Feature point descriptors
  • Infrared imaging

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Visión por computadora
  • Ciencias de la computación
  • Simulación por computadora

Áreas temáticas:

  • Ingeniería y operaciones afines
  • Física aplicada
  • Instrumentos de precisión y otros dispositivos