rigging

Wrap is a topology transfer tool. It allows to utilize the topology you already have and transfer it onto your new 3D-scanned data. The resulting models will not only share the same topology and UV-coordinates but also will naturally become blendshapes of each other.

original link: https://www.behance.net/gallery/18065111/X-Ray-Gifs

"Welcome to our website. We, a couple of Tech-Artists (and geeks) decided to come up with our vision about having a platform where we can put out our ideas and discuss with everyone as well. We are fans of open-source, learning so much from the community and we would like to give something back. The reason creaturerigs.com was created. We are CharacterTDs mainly working with Autodesk Maya among other softwares. Check out our Tools and Rigs available in the Download section of our website. Go Ahead, check it out, have interesting fun with it and we would love to have your feedback on anything and everything. In the Coming weeks, we will continue to share more ideas, break down Animation Rigs with traditional setups, showcase our own setups and develop/maintain Auto-Rigging tools as well."

free download of a human skeleton model

David Coleman - Creating QT interfaces for Maya and MotionBuilder This Masterclass will demonstrate the workflow of creating interfaces in QT Designer, and connecting them to functions within Maya and MotionBuilder. The basics of QT Designer will be covered, along with connecting sliders to drive facial blendshapes using the same interface for both Maya and MotionBuilder. Some techniques for procedurally creating QT widgets using PyQt will also be demonstrated.

A video gallery of top female tennis players - in slow motion.

some rigging reference... ;-)

Hey I was just about to post that and beaten by you!

Even though the human eye is one of the central features of individual appearance, its shape has so far been mostly approximated in our community with gross simplifications. In this paper we demonstrate that there is a lot of individuality to every eye, a fact that common practices for 3D eye generation do not consider. To faithfully reproduce all the intricacies of the human eye we propose a novel capture system that is capable of accurately reconstructing all the visible parts of the eye: the white sclera, the transparent cornea and the non-rigidly deforming colored iris. These components exhibit very different appearance properties and thus we propose a hybrid reconstruction method that addresses them individually while respecting their inter-dependencies. The result of our system is a complete model of both spatio-temporal shape and texture at an unprecedented level of detail. The captured eyes will not only enable the creation of more believable digital humans but have potential applications in fields other than computer graphics, such as ophthalmology. Finally, we believe that the findings of this paper will alter our community's current assumptions regarding human eyes, and our work has the potential to significantly impact the way that eyes will be modelled in the future.

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