Publikace detail

The Point Cloud Visualisation For Rotary Optical Rangefinders

Autoři: Chmelař Pavel | Beran Ladislav | Rejfek Luboš | Chmelařová Natalija

Rok: 2017

Druh publikace: článek ve sborníku

Název zdroje: 2017 27TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)

Název nakladatele: IEEE

Místo vydání: NEW YORK

Strana od-do: 168-173

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
cze	The Point Cloud Visualisation For Rotary Optical Rangefinders	This paper describes the point cloud visualization for rotary optical rangefinders. Measured distance data with image information from captured frames give a possibility to create a colored point cloud. The distance is measured by the vertical laser line and to select a color value directly from an actual measured frame is not possible. For this reason, the previous measurement frame is used. The individual frames shifting is estimated by the temple matching algorithm. The purpose of the paper is to show how easily it is possible to combine measurement data with image information in case of a color point cloud construction. The paper includes several examples of different point clouds to verify the algorithm's ability.	point cloud; template matching; rotary optical rangefinder; laser measurement; point cloud library
eng	The Point Cloud Visualisation For Rotary Optical Rangefinders	This paper describes the point cloud visualization for rotary optical rangefinders. Measured distance data with image information from captured frames give a possibility to create a colored point cloud. The distance is measured by the vertical laser line and to select a color value directly from an actual measured frame is not possible. For this reason, the previous measurement frame is used. The individual frames shifting is estimated by the temple matching algorithm. The purpose of the paper is to show how easily it is possible to combine measurement data with image information in case of a color point cloud construction. The paper includes several examples of different point clouds to verify the algorithm's ability.	point cloud; template matching; rotary optical rangefinder; laser measurement; point cloud library

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