How Do You Create Eigenfaces for Face Recognition Projects?

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SUMMARY

This discussion focuses on creating eigenfaces for a face recognition project. The process involves collecting a database of faces from 10 individuals, each with 5 different poses, and then generating eigenfaces from this dataset. The user seeks guidance on projecting input images onto the eigenfaces to recognize faces from the database. A reference to a video by Santiago Serrano on face recognition using eigenfaces is provided for further insights.

PREREQUISITES
  • Understanding of eigenvalue decomposition and its application in image processing.
  • Familiarity with face recognition concepts and techniques.
  • Experience with Python and libraries such as OpenCV for image manipulation.
  • Knowledge of machine learning principles, particularly in supervised learning.
NEXT STEPS
  • Research "Eigenface algorithm implementation in Python using OpenCV".
  • Explore "Principal Component Analysis (PCA) for dimensionality reduction in image datasets".
  • Learn about "Face recognition techniques using machine learning frameworks like TensorFlow".
  • Investigate "Data collection and preprocessing methods for face recognition projects".
USEFUL FOR

This discussion is beneficial for computer vision enthusiasts, machine learning practitioners, and developers working on face recognition systems who seek to implement eigenface techniques effectively.

ee11p1002
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Hi friends I am planning to do project on face recognition, Here is my idea.

1) First collect database of faces of say 10 persons, each person with 5 different poses in controlled manner.

2) Then i need to create eigen faces of these

3)Give an input image and project this on to eigen faces.

Can anyone help me how to create eigen faces and how to recognize the input image as a persons face in database. I am unable to proceed with the above partial idea.pleasez give me any ideas ,links etc.

Thanks
 
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