Training face detector using adaboost algorithm
Face detection is a complex and challenging task due to the high variability in faces and amongst faces. Also for a given image, a face detector should be able to identify and locate all faces, regardless of their position, scale, orientation (up-right, rotated) and pose (frontal, profile). To reduc...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/10356/17909 |
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| Institution: | Nanyang Technological University |
| Language: | English |