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2. MB-Lab - Wikipedia

   en.wikipedia.org/wiki/MB-Lab

   MB-Lab (previously ManuelbastioniLAB) is a free and open-source plug-in for Blender for the parametric 3D modeling of photorealistic humanoid characters. [1] It was developed by the artist and programmer Manuel Bastioni, [a] and was based on his over 15 year experience of 3D graphic projects. [2]

3. FaceGen - Wikipedia

   en.wikipedia.org/wiki/FaceGen

   Free demo versions of FaceGen Artist, FaceGen 3D Print and FaceGen Modeller can be downloaded from the company's website. These allow the user to create, edit, load and save files in the program's proprietary ".fg" format.

4. List of 3D modeling software - Wikipedia

   en.wikipedia.org/wiki/List_of_3D_modeling_software

   Following is a list of notable software, computer programs, used to develop a mathematical representation of any three dimensional surface of objects, as 3D computer graphics, also called 3D modeling.

5. Neville Page - Wikipedia

   en.wikipedia.org/wiki/Neville_Page

   Neville Page is a British-American film and television creature and concept designer. Born in England, he was raised in Manchester, and Chicago, Illinois.He was inspired by science fiction, including Star Wars, and makeup artist Rick Baker's work in An American Werewolf in London.

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7. Tinkercad - Wikipedia

   en.wikipedia.org/wiki/Tinkercad

   Tinkercad is a free-of-charge, online 3D modeling program that runs in a web browser. [1] Since it became available in 2011 it has become a popular platform for creating models for 3D printing as well as an entry-level introduction to constructive solid geometry in schools.

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   Enjoy a classic game of Hearts and watch out for the Queen of Spades!

9. Three-dimensional face recognition - Wikipedia

   en.wikipedia.org/wiki/Three-dimensional_face...

   3D model of a human face. Three-dimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition.