Spectral bidirectional texture function reconstruction by fusing multiple-color and spectral images

Wei Dong, Hui Liang Shen, Xin Du, Si Jie Shao, John Haozhong Xin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


Spectral bidirectional texture function (BTF) is essential for accurate reproduction of material appearance due to its nature of conveying both spatial and spectral information. A practical issue is that the acquisition of raw spectral BTFs is time-consuming. To resolve the limitation, this paper proposes a novel framework for efficient spectral BTF acquisition and reconstruction. The framework acquires red-green-blue (RGB) BTF images and just one spectral image. The full spectral BTFs are reconstructed by fusing the RGB and spectral images based on nonnegative matrix factorization (NMF). Experimental results indicate that the accuracy of spectral reflectance reconstruction is higher than that of existing algorithms. With the reconstructed spectral BTFs, the material appearance can be reproduced with high fidelity under various illumination conditions.
Original languageEnglish
Pages (from-to)10400-10408
Number of pages9
JournalApplied Optics
Issue number36
Publication statusPublished - 20 Dec 2016

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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