English

Deformable Modeling for Human Body Acquired from Depth Sensors

Computer Vision and Pattern Recognition 2017-08-31 v2

Abstract

This paper presents a novel approach to reconstruct complete 3D deformable models over time by a single depth camera. These are the steps employed for deforming objects from single depth camera. The partial surfaces reconstructed from various times of capture are assembled together to form a complete 3D surface. A mesh warping algorithm is used to align different partial surfaces based on linear mesh deformation. A volumetric method is then applied to combine partial surfaces, fix missing holes and smooth alignment errors.

Keywords

Cite

@article{arxiv.1708.05401,
  title  = {Deformable Modeling for Human Body Acquired from Depth Sensors},
  author = {Vamshhi Pavan Kumar Varma Vegeshna},
  journal= {arXiv preprint arXiv:1708.05401},
  year   = {2017}
}

Comments

arXiv admin note: submission has been withdrawn by arXiv administrators due to inappropriate text reuse from external sources

R2 v1 2026-06-22T21:17:28.646Z