Publication detail

Fingers segmentation and its approximation

Authors: Jetenský Pavel | Marek Jaroslav | Rak Josef

Year: 2015

Type of publication: článek ve sborníku

Name of source: Proceedings of 25th International Conference Radioelektronika, RADIOELEKTRONIKA 2015

Publisher name: IEEE (Institute of Electrical and Electronics Engineers)

Place: New York

Page from-to: 431-434

Titles:

Language	Name	Abstract	Keywords
cze	Segmentace prstů a jejich aproximace	Cílem tohoto příspěvku je najít takový algoritmus, který přesně detekuje pozici klouby prstů v binárním obrázku.	algoritmus; aproximační funkce; kloub prstu
eng	Fingers segmentation and its approximation	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.	Algorithms; Approximation function; Change-points; High-precision; Microsoft kinect; Non-smooth functions; Regression model; Transformation of coordinates

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