The Importance of Smoothness Constraints on Spectral Object Reflectances when Modeling Metamer Mismatching
| Autor: | Tarek Stiebel, Dorit Merhof |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Smoothness (probability theory)
Illuminant D65 Machine vision business.industry Computer science 05 social sciences Context (language use) Object (computer science) 01 natural sciences 050105 experimental psychology 010309 optics 0103 physical sciences Statistics 0501 psychology and cognitive sciences Computer vision Artificial intelligence business |
| Zdroj: | ICCV Workshops |
| Popis: | This paper analyzes the influence of multi-spectral imaging onto the severity of metamer mismatching, in particular in the context of color-accuracy of machine vision. Camera signals associated with simulated as well as real world multi-spectral imaging systems when viewing different objects under different lighting conditions were calculated. Based on the calculated camera signals, the associated MMBs were computed when changing towards the CIE standard observer under illuminant D65. The results show that an increased number ofchannels used in multi-spectral imaging systems do not necessarily decrease the severity of metamer mismatching. However, it is also shown that this is due to the limited capabilities of current image acquisition models which are not able to correctly compute a realistic MMB as they neglect any smoothness constraints on spectral object reflectances. |
| Databáze: | OpenAIRE |
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