Hand Gesture Recognition Using Computer Vision Techniques - Hassam Muazzam
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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. Fin ... Full description
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Description
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.
More Information
| Author | Hassam Muazzam |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2016 |
| Cover type | Softcover |
| EAN | 9783659910579 |