Examples of 'face detection' in a sentence
Meaning of "face detection"
Face detection refers to the technology or process of identifying and locating human faces in digital images or video streams. It is commonly used in various applications, such as facial recognition systems, surveillance systems, social media platforms, and photography tools. Face detection algorithms analyze visual patterns and features to detect the presence and positioning of faces in a given image or video
How to use "face detection" in a sentence
Basic
Advanced
face detection
Face detection autofocus in live view mode.
Individual differences in face detection and recognition.
All face detection framings are displayed.
The device has the function of face detection.
Face detection is intrinsically a computationally intensive task.
Application of filters requiring face detection in picture editor.
Face detection and picture logging.
It features a face detection system.
Face detection works very well.
The applications of these works deal with face detection.
Automatic face detection with OpenCV.
Users can select faces by hand if the automatic face detection is disabled.
Time face detection will also gain as a result.
Autofocus with face detection.
Face detection is also fast.
See also
Running face detection.
The face detection frames of other registered faces turn reddishpurple.
Automatic face detection.
Face detection in ios.
Utilize potential of precise face detection based people counting system.
New face detection algorithm registers even partially hidden faces.
Some recent digital cameras use face detection for autofocus.
The face detection system locates faces by highlighting them in a green box.
Experiments were carried out for face detection and gender classification methods.
The face detection does not work when setting the effect mode.
The fusiform face area is also necessary for successful face detection and identification.
China is already using face detection technology to identify and arrest people.
Makeup and facial hair can also pose issues for face detection programs.
Face detection on.
The presented energy estimation model and simulation method has been validated against a face detection application.
You can use the face detection feature to take selfies easily and conveniently.
Return to previous AF mode if face detection failed.
Along with face detection this feature automatically takes a photo when a person smiles.
It has technology of Face detection embedded also.
The face detection sensor combines analog and digital processing to reduce power consumption.
Sets the effect used for shooting the skin smoothly in the Face Detection function.
Face Detection succesfuly works in the following industries.
AdaBoost can be used for face detection as an example of binary categorization.
Face Detection ensures that people are in focus and properly exposed.
Focusing on the face of the subject Face Detection.
Face Detection suggests names once you have assigned a name one or more times.
Does not use the Face Detection function.
Face Detection Selects the priority subject for adjusting the focus when using face detection.
Highlight Movie Maker with face detection.
Face detection by the method of Viola and Jones.
On Indicate on display Off Switch off face detection.
You can not use the Face Detection function with the following functions.
In the last section, we saw face detection.
Advanced Face Detection and automatic adjustment of shadows.
The iPhone 6 also has improved face detection.
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