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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39900490" target="_blank" >RIV/00216275:25530/15:39900490 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7129023&newsearch=true&queryText=The%20Laser%20Color%20Detection%20for%203D%20Range%20Scanning%20Using%20Gaussian%20Mixture%20Model" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7129023&newsearch=true&queryText=The%20Laser%20Color%20Detection%20for%203D%20Range%20Scanning%20Using%20Gaussian%20Mixture%20Model</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/RADIOELEK.2015.7129023" target="_blank" >10.1109/RADIOELEK.2015.7129023</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 colorsegmentation 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 andHSV. 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 ment

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 25th International Conference Radioelektronika, RADIOELEKTRONIKA 2015

  • ISBN

    9781479981175

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    248-253

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Pardubice

  • Event date

    Apr 21, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article