Hand Gesture Recognition Using Computer Vision Techniques

Lieferzeit: Lieferbar innerhalb 14 Tagen

35,90 

ISBN: 3659910570
ISBN 13: 9783659910579
Autor: Muazzam, Hassam
Verlag: LAP LAMBERT Academic Publishing
Umfang: 64 S.
Erscheinungsdatum: 21.07.2016
Auflage: 1/2016
Format: 0.4 x 22 x 15
Gewicht: 113 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9676146 Kategorie:

Beschreibung

An endeavor has been made with the help of computer vision techniques and the release of Microsoft Kinect camera. The task of segmentation has been implemented using RGB with depth information; to enhance it, YCbCr color scheme is used. Two level feature extraction algorithms are examined, Scale Invariant Feature Transform (SIFT) for RGB images and the Gradient kernel descriptor method for depth images. Finally, Support Vector Machine (SVM) and K- nearest neighbor (K-NN) are tested.

Autorenporträt

Engr. Hassam Muazzam received his Bachelors in Electrical Engineering from University of the Punjab and Masters in Electrical Engineering from Government College University.He is currently working as a Lecturer in Department of Electrical Engineering,University of the Punjab,Lahore,Pakistan.

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