Abstract
Material classification is an important application in computer vision. The ability to detect the nature of the object surface from image data has a very high potential for applications ranging from low-level inspection to high-level object recognition. The inherent property of materials to partially polarize the reflected light can serve as a tool to classify them.
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Sarkar, M., Theuwissen, A. (2013). Material Classification Using CMOS Polarization Sensor. In: A Biologically Inspired CMOS Image Sensor. Studies in Computational Intelligence, vol 461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34901-0_5
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DOI: https://doi.org/10.1007/978-3-642-34901-0_5
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