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:


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