Face Landmark Detection - 1.4.1 English

Vitis AI Library User Guide (UG1354)

Document ID
Release Date
1.4.1 English

The Face Landmark network is used to detect five key points on a human face. The five points include the left eye, the right eye, the nose, the left corner of the lips, and the right corner of the lips. This network is used to correct face direction (what this means is if a face is not directly facing the camera (e.g., tilted 20 degrees left or right), it is "adjusted" to face the camera directly) before face feature extraction. The input image should be a face which is detected by the face detection network. The output of the network is the five key points. The five key points are normalized. The following image shows the result of face detection.

Figure 1. Face Landmark Detection Example

The following table lists the face landmark models supported by the AI Library.

Table 1. Face Landmark Models
No Model Name Framework
1 face_landmark Caffe