3D reconstruction from hyperspectral images

Ali Zia, Jie Liang, Jun Zhou, Yongsheng Gao

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    33 Citations (Scopus)

    Abstract

    3D reconstruction from hyper spectral images has seldom been addressed in the literature. This is a challenging problem because 3D models reconstructed from different spectral bands demonstrate different properties. If we use a single band or covert the hyper spectral image to gray scale image for the reconstruction, fine structural information may be lost. In this paper, we present a novel method to reconstruct a 3D model from hyper spectral images. Our proposed method first generates 3D point sets from images at each wavelength using the typical structure from motion approach. A structural descriptor is developed to characterize the spatial relationship between the points, which allows robust point matching between two 3D models at different wavelength. Then a 3D registration method is introduced to combine all band-level models into a single and complete hyper spectral 3D model. As far as we know, this is the first attempt in reconstructing a complete 3D model from hyper spectral images. This work allows fine structural-spectral information of an object be captured and integrated into the 3D model, which can be used to support further research and applications.
    Original languageEnglish
    Title of host publicationProceedings - IEEE Winter Conference on Applications of Computer Vision, WACV 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages318-325
    Number of pages8
    ISBN (Electronic)9781479966820
    ISBN (Print)9781479966820
    DOIs
    Publication statusPublished - 2015
    Event2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 - Waikoloa, United States
    Duration: 5 Jan 20159 Jan 2015

    Conference

    Conference2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015
    Country/TerritoryUnited States
    CityWaikoloa
    Period5/01/159/01/15

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