Face detection algorithms

Digital Camera Face Recognition: How It Works Three Point-and-Shoot Cameras That Have Face DetectionMedia Platforms Design TeamMedia Platforms Design TeamMedia Platforms Design TeamCanon PowerShot SD1000 ($300)Pentax Optio M30 ($200)FujiFilm FinePix F40FD ($300)Digital Camera Face Recognition: How It Works – Popular Mechanics www.popularmechanics.com › technology › gadgets › how-to

Face detection algorithms typically start by searching for human eyes — one of the easiest features to detect. The algorithm might then attempt to detect eyebrows, the mouth, nose, nostrils and the iris.

Digital Camera Face Recognition: How It Works Three Point-and-Shoot Cameras That Have Face DetectionMedia Platforms Design TeamMedia Platforms Design TeamMedia Platforms Design TeamCanon PowerShot SD1000 ($300)Pentax Optio M30 ($200)FujiFilm FinePix F40FD ($300)Digital Camera Face Recognition: How It Works – Popular Mechanics www.popularmechanics.com › technology › gadgets › how-to

Face detection locates human faces in visual media such as digital images or video . When a face is detected it has an associated position, size, and orientation; and it can be searched for landmarks such as the eyes and nose.

Face detection locates human faces in visual media such as digital images or video . When a face is detected it has an associated position, size, and orientation; and it can be searched for landmarks such as the eyes and nose.

To detect faces in an image, create an InputImage object from either a Bitmap , media. Image , ByteBuffer , byte array, or a file on the device. Then, pass the InputImage object to the FaceDetector ‘s process method . For face detection, you should use an image with dimensions of at least 480×360 pixels.