Efficient representation of articulated objects such as human bodies is an important problem
in computer vision and graphics. To efficiently simulate deformation, existing approaches …

We introduce the SCAPE method (Shape Completion and Animation for PEople)---a data-
driven method for building a human shape model that spans variation in both subject shape …

We treat shape co-segmentation as a representation learning problem and introduce BAE-
NET, a branched autoencoder network, for the task. The unsupervised BAE-NET is trained …

Given a shape, a skeleton is a thin centered structure which jointly describes the topology
and the geometry of the shape. Skeletons provide an alternative to classical boundary or …

An approach for accurately measuring human motion through Markerless Motion Capture
(MMC) is presented. The method uses multiple color cameras and combines an accurate …

3D morphable models are low-dimensional parameterizations of 3D object classes which
provide a powerful means of associating 3D geometry to 2D images. However, morphable …

We present an unsupervised algorithm for registering 3D surface scans of an object
undergoing significant deformations. Our algorithm does not need markers, nor does it …

During dynamic activities, the surface of the human body moves in many subtle but visually
significant ways: bending, bulging, jiggling, and stretching. We present a technique for …

A method and apparatus for estimating poses of a subject by grouping data points
generated by a depth image into groups representing labeled parts of the subject, and then …

We introduce an example-based rigging approach to automatically generate linear blend
skinning models with skeletal structure. Based on a set of example poses, our approach can …