SCAPE:
Shape Completion and Animation of People
D. Anguelov, P. Srinivasan, D.
Koller, S. Thrun, J. Rodgers, J. Davis
a
We introduce a data-driven method for building a human shape model that
spans variation in both subject shape and pose. The method is
based on a representation that incorporates both articulated and
nonrigid deformations. We learn a pose deformation model that derives
the nonrigid surface deformation as a function of the pose of the
articulated skeleton. We also learn a separate model of variation
based on body shape.
Our two models can be combined to produce 3D surface models with
realistic muscle deformation for different people in different poses,
when neither appear in the training set. We show how the model can be
used for shape completion
---
generating a complete surface mesh given a limited set of markers
specifying the target shape. We present applications of shape
completion to partial view completion and motion capture animation. In
particular, our method is capable of constructing a high-quality
animated surface model of a moving person, with realistic muscle
deformation, using just a single static scan of that person.
Paper:
[PDF - 1.8MB]
Video:
[gzipped MP4 - 30MB] You will
need to have Quicktime installed to view this movie.
NEW! A different (and better) derivation of shape completionoptimization in
my thesis.
Also, new
results on
non-linear
pose regression.
Motion Capture Animations:
[Boxing - animated GIF
4MB] [Walking - animated GIF 3.5MB] [Spinning - animated GIF 5MB]
These animations were obtained by shape-completing motion capture data
using our model.
Pose Space Animations:
[Sequence1 -
Indeo AVI 1.8MB] [Sequence2 - Indeo
AVI 2.1MB]
Pose and Body Shape Space Animations:
[Sequence1
- Indeo AVI 2.6MB] [Sequence2 -
Indeo AVI 2.6MB]
These animations were obtained by linearly interpolating between a few
sample poses, and body shape parameters.
A subset of the SCAPE dataset has been made available for research
purposes
on
this webpage . Please email prof. James Davis (
davis at
soe.ucsc.edu ) to get the password. No commercial usage of the data is
allowed.
The datasets contains 71 registered meshes of a particular person
in different poses.
We provide:
- Original meshes (125K polygons each)
- Morphs of the template model into each scan (25K polygons each)
- Scape-completions of each scan (25K polygons each)
- CC correspondences between the template and each scan.
Please email if you have any questions.
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