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Tim HuttonTim Hutton - 2014-10-23 10:30:50+0000 - Updated: 2014-10-23 10:30:50+0000
Originally shared by Michael BlackOur new Siggraph Asia paper addresses a common problem; that mocap results in unnatural animations.

Mocap systems output skeletons, throwing away all the soft tissue motions of real humans. The result is a lifeless animation.

In contrast, MoSh estimates body shape, pose and soft tissue deformations directly from sparse markers. MoSh turns a mocap system into a body scanner. Animation is driven directly by the markers, preserving subtle nuance.

MoSh captures soft tissue motions without large marker sets. Soft tissue motions make animations more realistic. These can be amplified or attenuated and even retargeted to new characters.

MoSh is automatic, does not need a body scan and can work with any marker set.

Marker-based motion capture (mocap) is widely criticized as producing lifeless animations. We argue that important information about body surface motion is present in standard marker sets but is lost in extracting a skeleton. We demonstrate a new approach called MoSh (Motion and Shape capture), that automatically extracts this detail from mocap data. MoSh estimates body shape and pose together using sparse marker data by exploiting a parametric model of the human body. In contrast to previous work, MoSh solves for the marker locations relative to the body and estimates accurate body shape directly from the markers without the use of 3D scans; this effectively turns a mocap system into an approximate body scanner. MoSh is able to capture soft tissue motions directly from markers by allowing body shape to vary over time. We evaluate the effect of different marker sets on pose and shape accuracy and propose a new sparse marker set for capturing soft-tissue motion. We illustrate MoSh by...

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