Investigation on chromatic aberrations and its potential for application in depth measurement
Robin Horn, Maik Rosenberger, Gunther Notni, Andrei Golomoz, Richard Fütterer, Paul-Gerald Dittrich
Abstract
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Robin Horn, Maik Rosenberger, Gunther Notni, Andrei Golomoz, Richard Fütterer, Paul-Gerald Dittrich
Abstract
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Chromatic aberrations are mostly supressed in typical industrial lenses to ensure a well-defined colour image. Beside the main wavelengths which are recognizable for the human eye, multispectral cameras can sample with a more detailed chromatic (spectral) resolution. This leads to a partial wavelength depended unsharpness in the images. If the imaging system can be well defined out of these imperfections, a depth information can be calculated. In this paper the theoretical model as well as a method for the 3D-reconstruction out of different colour (spectral) channels will be discussed.
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Chromatic aberrations are mostly supressed in typical industrial lenses to ensure a well-defined colour image. Beside the main wavelengths which are recognizable for the human eye, multispectral cameras can sample with a more detailed chromatic (spectral) resolution. This leads to a partial wavelength depended unsharpness in the images. If the imaging system can be well defined out of these imperfections, a depth information can be calculated. In this paper the theoretical model as well as a method for the 3D-reconstruction out of different colour (spectral) channels will be discussed.
Key concepts: Chromatic scale, Chromatic aberration, Multispectral image, Optics, Wavelength, Resolution (logic), Human eye, Computer science