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2 cards from this section. Quick, good the night before a test.
What is the purpose of the Haar Cascade Classifier?
Think about how the model recognizes patterns.
Why do we convert images to grayscale before detection?
Consider how color might complicate processing.
What is the first step in using OpenCV for face detection?
Think about the tools you need before starting a task.
True or False: The detectMultiScale method can return multiple faces detected in a single image.
Consider what happens when there are multiple people in the photo.
Design an OpenCV application that counts the number of faces detected in a series of images. Describe the steps needed, including any functions you would use.
Think about how you would store the counts for each image.
Investigate how face detection can be affected by occlusions, such as sunglasses or masks. Propose a method to improve detection accuracy under such conditions.
Consider how additional training with masked or occluded faces could improve model performance.
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