Adrian F. Clark
What is Adaptive Boosting?
A method for combining multiple weak classifiers into one strong classifier
Which of the following techniques is "eigenfaces" built on?
Principal Component Analysis
How is Principal Component Analysis performed?
By Eigen decomposition of the covariance matrix
What are Haar features?
Differences between the sums of pixels in rectangular regions
What is Affective Computing?
Taking into account the emotional state of the user
The Viola-Jones face detection algorithm is based around the use of which type of features?
What is covariance?
A measure of the similarity of variations in the images
Why is the integral image representation used in Viola-Jones?
It allows Haar features to be calculated in constant time
What does Principal Component Analysis (PCA), as used in eigenfaces, do?
Finds the directions in feature space with the largest variations
Faces are allegedly more attractive if:
The shape matches the golden ratio