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Multispectral Image Feature Points
Aguilera, Cristhian (Universidad del Bío-Bío (Concepción, Xile))
Barrera Campo, Jose Fernando (Centre de Visió per Computador (Bellaterra, Catalunya))
Lumbreras Ruiz, Felipe (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Sappa, Angel Domingo (Centre de Visió per Computador (Bellaterra, Catalunya))
Toledo Morales, Ricardo (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)

Data: 2012
Resum: This 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.
Drets: Tots els drets reservats
Llengua: Anglès
Document: article ; recerca ; publishedVersion
Matèria: Multispectral image descriptor ; Color and infrared images ; Feature point
Publicat a: Sensors, Vol. 12 (2012) , p. 12661-12672, ISSN 1424-8220

12 p, 2.1 MB

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