Publication | Open Access
SCAPE
384
Citations
19
References
2005
Year
Unknown Venue
Human Pose Estimation3D Pose EstimationWearable TechnologyHuman ModellingKinesiologyMotion CaptureKinematicsHuman MotionComputational GeometryHealth SciencesGeometric ModelingDanceComputer VisionShape CompletionScape MethodNatural SciencesMotion Capture AnimationHuman MovementCharacter AnimationAppearance Modeling
The SCAPE method is a data‑driven approach that builds a human shape model spanning shape and pose variation and enables shape completion from limited markers. SCAPE learns a pose‑dependent non‑rigid deformation model and a separate body‑shape model, combining them to generate realistic 3D surfaces with muscle deformation for arbitrary poses and subjects. SCAPE produces high‑quality animated surface models with realistic muscle deformation for unseen people and poses, using only a single static scan and marker motion capture.
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 and pose. The method is based on a representation that incorporates both articulated and non-rigid deformations. We learn a pose deformation model that derives the non-rigid 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 and a marker motion capture sequence of the person.
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