Multispectral Image Feature Points
AbstractThis paper presents a novel feature point descriptor for the multispectral image case: 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. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Aguilera, C.; Barrera, F.; Lumbreras, F.; Sappa, A.D.; Toledo, R. Multispectral Image Feature Points. Sensors 2012, 12, 12661-12672.
Aguilera C, Barrera F, Lumbreras F, Sappa AD, Toledo R. Multispectral Image Feature Points. Sensors. 2012; 12(9):12661-12672.Chicago/Turabian Style
Aguilera, Cristhian; Barrera, Fernando; Lumbreras, Felipe; Sappa, Angel D.; Toledo, Ricardo. 2012. "Multispectral Image Feature Points." Sensors 12, no. 9: 12661-12672.