Boundary-aided Human Body Shape and Pose Estimation from a Single Image for Garment Design and Manufacture

Real-Time Individualized Virtual Humans Motion Capture Textured cloth body animation... Human

A transition from physical simulation to motion editing (in this system a motion graph) can be made if the VHs pose is similar to a pose in a motion primitive of one the motion

The template can then be used to recover dense 3D shape very efficiently from affine image motion via unambiguous planar pose estimation combined with surface

First we build a statistical model to map the human pose in each frame of the captured motion data to a character pose using the given key poses (Section 4).. We then obtain the

[SBB07] use a Shape Con- text driven pose reconstruction as a prior for optimizing body shape parameters (using SCAPE) to find a best fitting pose and body shape from a single

In this work we present a markerless motion capture approach which can be used to estimate the human body pose in real-time with a single depth camera.. The presented approach

The GHand algorithm computes the hand pose from a single depth image I t by using the approach of random forests.. A kinematic chain model of the

There are many factors that come into play when creating such a dataset such as the artistic quality of the reference garment design, the resolution of the mesh, the versatility of