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Calibration of 3D Images in Terms of Spectral Reflectance

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 369))

Abstract

Recently, 3D image processing has become widespread in the various applications such as medical, animation, and graphics communication. There exist a number of techniques to transform 2D images into 3D. The purpose of this study was to develop a set of procedure to achieve precise color reproduction in cross-media color reproduction for 3D images and to simulate images under different illuminants. A 3dMD® system was used to capture images of 3D objects. A polynomial model-based camera characterization was implemented. To further enhance the scope of research, different 3D images were transformed into the spectral images via two different methods, principal component analysis (PCA) and Wiener. The spectral images were then used to transform images under different illuminants. Finally, a simulation of the appearance of 3D images on a display under different illuminants was successfully achieved.

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Correspondence to Ming Ronnier Luo .

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© 2016 Springer Science+Business Media Singapore

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Mughal, M.F., Luo, M.R., Wang, Y., Xu, L., Safdar, M. (2016). Calibration of 3D Images in Terms of Spectral Reflectance. In: Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications, Packaging Technology and Materials. Lecture Notes in Electrical Engineering, vol 369. Springer, Singapore. https://doi.org/10.1007/978-981-10-0072-0_6

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  • DOI: https://doi.org/10.1007/978-981-10-0072-0_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0070-6

  • Online ISBN: 978-981-10-0072-0

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