Face Detection & Recognition — MCQs | Digital Image Processing

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1. Which technique is commonly used for detecting human faces in images?



2. What is the primary role of Haar-like features in face detection?



3. Which classifier is used in the Viola-Jones face detection framework?



4. Which of the following methods is based on projecting facial images onto a lower-dimensional space?



5. In PCA-based face recognition, what does each eigenface represent?



6. What does LBP stand for in face recognition?



7. Which deep learning model was developed by Facebook for face recognition?



8. Which distance metric is commonly used in face recognition to compare feature vectors?



9. Which of the following is not a face recognition technique?



10. Which of these best describes the term “face embedding”?



11. Which algorithm uses cascades of classifiers for face detection?



12. What is the key advantage of using CNNs in face recognition tasks?



13. Which of the following techniques is most robust against variations in lighting for face recognition?



14. In Deep Learning, which architecture is commonly used for facial recognition tasks?



15. What is the function of a feature extractor in a face recognition system?



16. Which of the following is a standard benchmark dataset for evaluating face recognition algorithms?



17. What is the full form of LFW?



18. In face detection, what does the term “sliding window” refer to?



19. What is the purpose of face alignment in recognition systems?



20. Which algorithm transforms face images into a lower-dimensional space using class labels?



21. Which feature descriptor divides the image into small cells and calculates the gradient histogram?



22. Which of the following can be used for real-time face detection?



23. What is the role of non-max suppression in face detection?



24. Which deep learning model maps face images to a compact Euclidean space?



25. Which preprocessing step is essential for improving face recognition accuracy?



26. Which method converts an image into a binary pattern to describe its texture?



27. Which system uses 128-dimensional face embeddings for recognition?



28. What is the main limitation of traditional face recognition techniques?



29. Which method relies on convolutional layers to extract hierarchical features from face images?



30. Which technique enhances the speed of detection in Viola-Jones algorithm?



31. In which phase is a classifier trained on positive and negative samples in face detection?



32. What is the goal of face verification?



33. What is the function of the softmax layer in a face recognition CNN?



34. Which term refers to identifying a person in a group of faces?



35. What is the role of data augmentation in face recognition?



36. Which face descriptor technique is rotation invariant?



37. Which one is a face anti-spoofing technique?



38. Which step helps reduce the dimensionality of face data?



39. Which of the following techniques is least affected by partial occlusion?



40. Which face recognition method is more interpretable and computationally simpler?



41. What is the main disadvantage of Eigenface method?



42. Which component in CNN learns to detect features like eyes, nose, and mouth?



43. Which loss function is used in FaceNet to improve discrimination between faces?



44. Which software library provides face recognition using dlib and face_recognition API?



45. Which system identifies a person across multiple surveillance cameras?



46. Which process assigns identities to unknown face data?



47. Which type of facial recognition method uses unlabeled data?



48. Which factor significantly influences face recognition performance in real-world applications?



49. Which layer in CNN helps reduce spatial dimensions of feature maps?



50. Which CNN-based model is widely used in mobile devices for efficient face recognition?



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