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Hardware Accelerated Image Processing on an FPGA-SoC Based Vision System for Closed Loop Monitoring and Additive Manufacturing Process Control Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Single Fingertip Detection Using Simple Geometric Properties of the Hand Image: A Case Study for Augmented Reality in an Educational App

Authors : Nikolaos Nomikos, Dimitris Kalles

Published in: Computer Vision Systems

Publisher: Springer International Publishing

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Abstract

We propose a fingertip detection method suitable for portable devices’ applications where the user can interact with objects or interface elements located in the augmented space. The method has been experimentally implemented in the context of an application that uses a board containing ArUco markers [1]. The user can press virtual buttons laid on the board or drag items along predetermined paths on the board level by extending the index finger (or thumb) and placing its edge on the object of interest, while the other hand holds the device so that both the object and the hand are visible. We present brief but indicative results of our technique.

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previous chapter Extracting the Inertia Properties of the Human Upper Body Using Computer Vision
next chapter Leveraging Pre-trained CNN Models for Skeleton-Based Action Recognition
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Metadata
Title
Single Fingertip Detection Using Simple Geometric Properties of the Hand Image: A Case Study for Augmented Reality in an Educational App
Authors
Nikolaos Nomikos
Dimitris Kalles
Copyright Year
2019
Book
Computer Vision Systems

Print ISBN: 978-3-030-34994-3

Electronic ISBN: 978-3-030-34995-0

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-34995-0_55

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