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Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
A LifeCam HD-3000 webcam sitting on top of a monitor. The LifeCam is a lineup of webcams from Microsoft for PC users marketed since 2006. Various models and series of webcams are designed for either laptops or desktops.
FACE Plus is the company's photo (still image) facial recognition program. It includes advanced filtering and can reconstruct a 3D model from photos to correct their angle, a feature called pose correction. [1] DataWorks uses facial recognition algorithms from NEC, [2] Rank One Computing (of Colorado, CEO Brendan Klare), [2] and Cognitec. [6]
Webcam software allows users to take pictures and video and save them to their computer. ... //free-video-surveillance.com: Windows: Proprietary: WebCamImageSave
Face detection can be used as part of a software implementation of emotional inference. Emotional inference can be used to help people with autism understand the feelings of people around them. [8] AI-assisted emotion detection in faces has gained significant traction in recent years, employing various models to interpret human emotional states.
Celebrity recognition in images [3] [4]; Facial attribute detection in images, including gender, age range, emotions (e.g. happy, calm, disgusted), whether the face has a beard or mustache, whether the face has eyeglasses or sunglasses, whether the eyes are open, whether the mouth is open, whether the person is smiling, and the location of several markers such as the pupils and jaw line.
FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]
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