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Goal: face detection program
Goal: face detection program
- Study and implement two different methods (Haar cascade, LBP cascade) of face detection.
Suggested Readings
Suggested Readings
- OpenCV sample code with Haar cascade
- OpenCV Online documentation
- Tutorial:Tutorial: Tutorial: Object Detection
- Cascade Classifier, Cascade Classifier Training
- Face model is stored in an XML file, ex. "haarcascade_frontalface_alt.xml"
- objdetect module
- Tutorial:Tutorial: Tutorial: Object Detection
- Google OpenCV LBP sample code by yourself
Report
Report
- Describe the concept, algorithm and theory of Haar cascade algorithm (Adaboost with integral image)
- Describe the concept, algorithm and theory of LBP cascade algorithm (Adaboost with LBP)
- Elaborate the difference between Haar cascade and LBP cascade
- Explain your implementations
- Demonstrate project results with your images
- Compare the results between Haar cascade and LBP cascade
- Illustrate detection results of different face situations, such as frontal face, side face, rotated faces, low-lighted faces. Write a discussion of these detection results.
- Try the Cascade Classifier Training. Explain your steps to train haar cascade method. Give some face images to compare the detection results between OpenCV's haar cascade and your haar cascade.
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