Point detection for grasping unknown objects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F18%3A43913708" target="_blank" >RIV/62156489:43110/18:43913708 - isvavai.cz</a>
Result on the web
<a href="http://pefnet.mendelu.cz/wcd/w-rek-pefnet/pefnet17_fin.pdf" target="_blank" >http://pefnet.mendelu.cz/wcd/w-rek-pefnet/pefnet17_fin.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Point detection for grasping unknown objects
Original language description
This contribution is focused on the design and implementation of the algorithm intended for point detection for grasping unknown objects. The Hough transform method was used for the implementation of this algorithm. A Basler acA1600-20uc industrial camera with a Computar M2514-MP2 lens was used for obtaining the input data. The programing language C# and EmguCV library were used for the implementation of algorithm. The correctness of the designed algorithm was verified using detection of the various objects.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PEFnet 2017: Proceedings
ISBN
978-80-7509-555-8
ISSN
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e-ISSN
neuvedeno
Number of pages
5
Pages from-to
210-214
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Nov 30, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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