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Synopsis
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.
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About the Author
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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Hand Gesture Recognition Using Computer Vision Techniques
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LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659910570
ISBN 13: 9783659910579
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch. Seller Inventory # 9783659910579
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Hand Gesture Recognition Using Computer Vision Techniques
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659910570
ISBN 13: 9783659910579
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Muazzam HassamEngr. 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 Depar. Seller Inventory # 385770609
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Hand Gesture Recognition Using Computer Vision Techniques
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ISBN 13: 9783659910579
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Hand Gesture Recognition Using Computer Vision Techniques
Published by
LAP LAMBERT Academic Publishing Jun 2016, 2016
ISBN 10: 3659910570
ISBN 13: 9783659910579
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9783659910579
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Hand Gesture Recognition Using Computer Vision Techniques
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659910570
ISBN 13: 9783659910579
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659910579
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Hand Gesture Recognition Using Computer Vision Techniques
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659910570
ISBN 13: 9783659910579
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Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Hand Gesture Recognition Using Computer Vision Techniques | Hassam Muazzam | Taschenbuch | 64 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659910579 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 103577244