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Computer facial animation is primarily an area of computer graphics that encapsulates methods and techniques for generating and animating images or models of a character face. The character can be a human , a humanoid, an animal , a legendary creature or character, etc. Due to its subject and output type, it is also related to many other ...
The generation of new faces is based on a pre-existing database of example faces acquired through a 3D scanning procedure. All these faces are in dense point-to-point correspondence, which enables the generation of a new realistic face (morph) by combining the acquired faces. A new 3D face can be inferred from one or multiple existing images of ...
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 computer graphics (CG), computer animation for movies, games, or real-time avatars. Because the motion of CG characters is derived from the ...
FACS coding is also used extensively in computer animation, in particular for computer facial animation, with facial expressions being expressed as vector graphics of AUs. [24] FACS vectors are used as weights for blend shapes corresponding to each AU, with the resulting face mesh then being used to render the finished face.
The growth of internet video has provided a platform to help elevate the music industry. This has most particularly been seen through the platform of YouTube. Chris Maxcy, YouTube's partner development director stated that “YouTube is the ideal place for labels to promote music and for fans to discover new artists and old favourites”.
The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.
After drawing the outline, back-face culling is set back to normal to draw the shading and optional textures of the object. Finally, the image is composited via Z-buffering, as the back-faces always lie deeper in the scene than the front-faces. The result is that the object is drawn with a black outline and interior contour lines.
Eigenface provides an easy and cheap way to realize face recognition in that: Its training process is completely automatic and easy to code. Eigenface adequately reduces statistical complexity in face image representation. Once eigenfaces of a database are calculated, face recognition can be achieved in real time.