This uses L1 norm minimization to detect between faces and non faces. 6 faces are used for training and the usual pre-processing like skin detection. The threshold is placed at 0.2 but can be modified as per requirement. The performance is sketchy at best. Check out the youtube link for the performance http://www.youtube.com/watch?v=PMYFo414eBs&feature=related
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Neeraj (2024). Face detection using L1 norm quantization (https://www.mathworks.com/matlabcentral/fileexchange/34542-face-detection-using-l1-norm-quantization), MATLAB Central File Exchange. 检索来源 .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Object Detection Using Features > Face Detection >
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版本 | 已发布 | 发行说明 | |
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1.0.0.0 |