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・ Facial composite
・ Facial disc
・ Facial eczema
・ Facial electromyography
・ Facial Emotion Expression Lab
・ Facial expression
・ Facial feedback hypothesis
・ Facial feminization surgery
・ Facial hair
・ Facial hair in the military
・ Facial Images National Database
・ Facial implant
・ Facial Justice
・ Facial lymph nodes
・ Facial masking
Facial motion capture
・ Facial motor nucleus
・ Facial muscles
・ Facial nerve
・ Facial nerve decompression
・ Facial nerve paralysis
・ Facial Onset Sensory Motor Neuropathy syndrome
・ Facial prosthetic
・ Facial recognition
・ Facial recognition system
・ Facial rejuvenation
・ Facial resemblance
・ Facial skeleton
・ Facial symmetry
・ Facial tissue


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Facial motion capture : ウィキペディア英語版
Facial motion capture

Facial Motion Capture is the process of electronically converting the movements of a person's face into a digital database using cameras or laser scanners. This database may then be used to produce CG (computer graphics) computer animation for movies, games, or real-time avatars. Because the motion of CG characters is derived from the movements of real people, it results in more realistic and nuanced computer character animation than if the animation were created manually.
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 low cost capture software such as Zign Creations' Zign Track. This produces less sophisticated tracking, and is unable to fully capture three-dimensional motions such as head rotation. Three-dimensional capture is accomplished using multi-camera rigs or laser marker system. Such systems are typically far more expensive, complicated, and time-consuming to use. Two predominate technologies exist; marker and markerless tracking systems.
Facial Motion Capture is related to body motion capture, but is more challenging due to the higher resolution requirements to detect and track subtle expressions possible from small movements of the eyes and lips. These movements are often less than a few millimeters, requiring even greater resolution and fidelity and different filtering techniques than usually used in full body capture. The additional constraints of the face also allow more opportunities for using models and rules.
Facial expression capture is similar to Facial Motion Capture. It is a process of using visual or mechanical means to manipulate computer generated characters with input from human faces, or to recognize emotions from a user.
== History ==
One of the first papers discussing performance-driven animation was published by Lance Williams in 1990. There, he describes 'a means of acquiring the expressions of realfaces, and applying them to computer-generated faces'.〔Performance-Driven Facial Animation, Lance Williams, Computer Graphics, Volume 24, Number 4, August 1990〕

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