Publikace detail

The Laser Color Detection for 3D Range Scanning Using Gaussian Mixture Model

Autoři: Chmelař Pavel | Beran Ladislav | Chmelařová Natalija

Rok: 2015

Druh publikace: článek ve sborníku

Název zdroje: Proceedings of 25th International Conference Radioelektronika, RADIOELEKTRONIKA 2015

Název nakladatele: IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání: New York

Strana od-do: 248-253

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
cze	Detekce laseru pro 3D skenování pomocí Gaussian Mixture Modelu	Lasers are widely used in measurement systems, health care and in electrical engineering in general. One recent area in measurement represents 3D range scanning. The accurate laser line detection is crucial for their precision. In this paper we would like to introduce a new method of the color-based laser line detection by using felicitous Gaussian mixture model (GMM). Detection algorithm process a static image captured by camera. There are several advantages of using this sophisticated model. The color segmentation process is able to deal with saturation, different laser intensity, darker objects and ambient daylight. Various color models it is possible to use in modeling process. For laser color detection we are using two basic color models, RGB and HSV. The paper includes a rigorous comparative evaluation of the two aforementioned color models in a segmentation colored laser line. Results of 3D range scanning are compared and recommendations for using color GMM segmentation are mentioned in last part of this paper.	Gaussovský mixture model; barevná detekce; 3D skenování; RGB model; HSV model
eng	The Laser Color Detection for 3D Range Scanning Using Gaussian Mixture Model	Lasers are widely used in measurement systems, health care and in electrical engineering in general. One recent area in measurement represents 3D range scanning. The accurate laser line detection is crucial for their precision. In this paper we would like to introduce a new method of the color-based laser line detection by using felicitous Gaussian mixture model (GMM). Detection algorithm process a static image captured by camera. There are several advantages of using this sophisticated model. The color segmentation process is able to deal with saturation, different laser intensity, darker objects and ambient daylight. Various color models it is possible to use in modeling process. For laser color detection we are using two basic color models, RGB and HSV. The paper includes a rigorous comparative evaluation of the two aforementioned color models in a segmentation colored laser line. Results of 3D range scanning are compared and recommendations for using color GMM segmentation are mentioned in last part of this paper.	Gaussian mixture model; color detection; 3D range scanning; RGB model; HSV model

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