Sentence examples for using a face detector from inspiring English sources

We, therefore, propose detecting facial regions in the input video sequence using a face detector with local illumination compensation for normalization and optimal adaptive correlation [18].

Vatahska et al. [9] use a face detector to roughly classify the pose as frontal, left, or right profile.

First we use a face detector to localize faces in all frames of the video and extract various features of the detections.

The CoLBP features are used to train a face detector using the cascade of classifiers technique in [3].

Gaubatz and Ulichney [6] proposed to apply a face detector as first stage and then search for the eyes in the candidate face regions by using constraints based on colors, red variance, and glint.

The proposed CoLBP features are used to implement a face detector (CoLBP detector).

For example, a large collection of face images with a bounding box around the faces can be used to learn a face detector feature.

In this part of the experiments, the boosted McCascade algorithm has been applied to another specific application: detecting faces in different poses using an upright face detector.

First, each frame of the original frame sequence was gray-scaled and passed through a face detector using modified census transform (MCT) features [28].

Note that the system used to combine the three detectors can be extended to get a face detector robust to pose and to occlusion.

Thus, a high resolution image can be grabbed and analyzed with a face detector.