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Filter optimization approach for a chromatic confocal triangulation sensor

: Taphanel, Miro

Volltext urn:nbn:de:0011-n-2384826 (713 KByte PDF)
MD5 Fingerprint: b2730bb7b5d7d3c75382d58c7e2f1177
Erstellt am: 26.4.2013

Beyerer, Jürgen (Ed.); Pak, Alexey (Ed.) ; Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung -IOSB-, Karlsruhe; Karlsruhe Institute of Technology -KIT-, Lehrstuhl für Interaktive Echtzeitsysteme -IES-:
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2012. Proceedings : Triberg-Nussbach, Germany, July, 22 to 28, 2012
Karlsruhe: KIT Scientific Publishing, 2013 (Karlsruher Schriften zur Anthropomatik 13)
ISBN: 978-3-86644-988-6
DOI: 10.5445/KSP/1000032956
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2012, Triberg-Nussbach>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Simplified, a chromatic confocal triangulation CCT sensor encodes different surface heights by different wavelengths. A height is measured by determining the corresponding wavelength of the optical signal. The CCT sensor concept solves this task using a multispectral camera, which is a camera with multiple channels, each characterized by a different optical filter. To measure the wavelength with high precision, these filters need to be optimized. For this purpose a physical model is introduced, which describes the multispectral camera. Based on this model, merit functions are developed that cover two aspects: increased resolution and statistical uniqueness of a measurement. These merit functions can be used in a next step to optimize a set of filters.