Fingers segmentation and its approximation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39900636" target="_blank" >RIV/00216275:25530/15:39900636 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/RADIOELEK.2015.7129026" target="_blank" >http://dx.doi.org/10.1109/RADIOELEK.2015.7129026</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEK.2015.7129026" target="_blank" >10.1109/RADIOELEK.2015.7129026</a>
Alternative languages
Result language
angličtina
Original language name
Fingers segmentation and its approximation
Original language description
Aim of the paper is to find an algorithm for detecting finger's knuckle in the binary image with high precision and accuracy. At our disposal are measured coordinates of points on the finger, which are obtained from Microsoft Kinect. We form a suitable model for finger's characterization. It is based on the transformation of coordinates and regression models. A regression model gives a non-smooth function with change point. The main goal is to find the change point of the approximation function corresponding to the knuckle.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
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e-ISSN
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Number of pages
4
Pages from-to
431-434
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
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