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Flutter is a gesture recognition technology startup based in San Francisco, California, United States. Founded by Navneet Dalal and Mehul Nariyawala , the company received early-stage funding from Y Combinator and was acquired by Google in October 2013.
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]
Face recognition has been leveraged as a form of biometric authentication for various computing platforms and devices; [37] Android 4.0 "Ice Cream Sandwich" added facial recognition using a smartphone's front camera as a means of unlocking devices, [66] [67] while Microsoft introduced face recognition login to its Xbox 360 video game console ...
Automatic face detection with OpenCV. Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. [1] Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.
The technique used in creating eigenfaces and using them for recognition is also used outside of face recognition: handwriting recognition, lip reading, voice recognition, sign language/hand gestures interpretation and medical imaging analysis. Therefore, some do not use the term eigenface, but prefer to use 'eigenimage'.
Face detection, often a step done before facial recognition; Face perception, the process by which the human brain understands and interprets the face; Pareidolia, which involves, in part, seeing images of faces in clouds and other scenes; Facial recognition system, an automated system with the ability to identify individuals by their facial ...
The 1,000th Wordle puzzle ran in March, a milestone for the popular game where players tend to stick to a formula, with 2.8 million people using the same starting word every day as proof.
Face recognition involves configural information to process faces holistically. However, object recognition does not use configural information to form a holistic representation. Instead, each part of the object is processed independently to allow it to be recognised. This is known as a featural recognition method. [13]