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A facial motion capture database describes the coordinates or relative positions of reference points on the actor's face. The capture may be in two dimensions, in which case the capture process is sometimes called "expression tracking", or in three dimensions. Two-dimensional capture can be achieved using a single camera and capture software.
[1] [2] Facial recognition software is complex and the technology utilizes CCTV to capture images. [3] Many countries use a two-dimensional technology to identify people. The technology works by taking an image of a person's face and matching the image with databases. Usually the technology measures the distance between points of a person's face.
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.
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IP cameras are considered part of the Internet of things and have many of the same benefits and security risks as other IP-enabled devices. [159] Smart doorbells are one example of a type of CCTV that uses IP to allow it to send alerts. Main types of IP cameras include fixed cameras, pan–tilt–zoom (PTZ) cameras, and multi-sensor cameras. [160]
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 generation of facial animation data can be approached in different ways: 1.) marker-based motion capture on points or marks on the face of a performer, 2.) markerless motion capture techniques using different type of cameras, 3.) audio-driven techniques, and 4.) keyframe animation. Motion capture uses cameras placed around a subject. The ...
The Facial Action Coding System (FACS) is a system to taxonomize human facial movements by their appearance on the face, based on a system originally developed by a Swedish anatomist named Carl-Herman Hjortsjö. [1] It was later adopted by Paul Ekman and Wallace V. Friesen, and published in 1978. [2]