From the course: Deep Learning: Face Recognition
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What is face landmark estimation? - Python Tutorial
From the course: Deep Learning: Face Recognition
What is face landmark estimation?
- [Instructor] The second step of our face recognition pipeline is called face landmark estimation. Face landmark estimation is where we identify key points on a face, such as the tip of the nose and the center of the eye. On the left is a face that we extracted from a photograph using face detection model. On the right is what that image looks like after we use face landmark estimation to detect points on the face. Each of the points we've detected on the face is called a face landmark because it represents a well-known place on the face like the tip of the nose or the edge of the eyes. Face landmark estimation works by starting with a known set of points that should appear on any face. Then it moves those points around until they match the face image. In this case, we've located the eyebrows, eyes, nose, lips, and chin line. And because the points are predefined, we should already know which of the points make up the eyes, which make up the nose, and so on, so we can connect them…
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