Hand Gesture Recognition Using Computer Vision Techniques - Hassam Muazzam
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Saadetis 12-18 tööpäeva jooksul
30-päevane tagastamisõigus
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 ... Täielik kirjeldus
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Kirjeldus
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.
Lisateave
| Autor | Hassam Muazzam |
|---|---|
| Kirjastaja | LAP LAMBERT Academic Publishing |
| Väljalaskeaasta | 2016 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783659910579 |