PT Unknown
AU M. Cruz
   Cristhian A. Aguilera-Carrasco
   Boris X. Vintimilla
   Ricardo Toledo
   Angel Sappa
TI Cross-spectral image registration and fusion: an evaluation study
BT 2nd International Conference on Machine Vision and Machine Learning
PY 2015
DE multispectral imaging; image registration; data fusion; infrared and visible spectra
AB This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at differentspectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented.
ER