1 / 11

Motion Capture Using Joint Skeleton Tracking and Surface Estimation

Motion Capture Using Joint Skeleton Tracking and Surface Estimation. Juergen Gall Carsten Stoll Edilson de Aguiar Christian Theobalt Bodo Rosenhahn Hans-Peter Seide CVPR 2009. Outline. Introduction Skeleton-based Pose Estimation Experiment Conclusion . Local Optimization.

yered
Télécharger la présentation

Motion Capture Using Joint Skeleton Tracking and Surface Estimation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Motion Capture Using Joint Skeleton Tracking and Surface Estimation JuergenGall CarstenStoll Edilson de Aguiar Christian Theobalt BodoRosenhahn Hans-Peter Seide CVPR 2009

  2. Outline • Introduction • Skeleton-based Pose Estimation • Experiment • Conclusion

  3. Local Optimization 3D - 2D correspondences (V , x) x can be represented as Plucker line L = (n , m) , the error is given by 

  4. Local Optimization Equation (1) ,(2) solved by Taylor approximation Limb-specific energy

  5. Global Optimization • Reference :

  6. Surface Estimation • Laplacian deformation framework

  7. Experiments

  8. Conclusion • Presented an approach that recovers skeleton pose and surface motion fully-automatically from multi-view video sequence. • Introduced a novel optimization scheme for skeleton-based pose estimation. • It allows subjects wearing wide apparel.

More Related