TY - JOUR AU - Cristhian Aguilera AU - Fernando Barrera AU - Felipe Lumbreras AU - Angel Sappa AU - Ricardo Toledo PY - 2012// TI - Multispectral Image Feature Points T2 - SENS JO - Sensors SP - 12661 EP - 12672 VL - 12 IS - 9 KW - multispectral image descriptor KW - color and infrared images KW - feature point descriptor N2 - Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge Oriented Histogram (EOH) descriptor. Finally, points of interest from multispectral images are matched by finding nearest couples using the information from the descriptor. The provided experimental results and comparisons with similar methods show both the validity of the proposed approach as well as the improvements it offers with respect to the current state-of-the-art. L1 - http://refbase.cvc.uab.es/files/ABL2012.pdf UR - http://dx.doi.org/10.3390/s120912661 N1 - ADAS ID - Cristhian Aguilera2012 ER -