“Scan2Avatar: Automatic Rigging for 3D Raw Human Scans” by Ni, Luo, Zhang, Budagavi, Dickerson, et al. …
Conference:
Type:
Entry Number: 15
Title:
- Scan2Avatar: Automatic Rigging for 3D Raw Human Scans
Presenter(s)/Author(s):
Abstract:
A powerful rigging pipeline is proposed to automatically rig the raw scans of human model with 1) fitting a Rigged Parametric Body Model (RPBM) to the scan with a novel and effective energy formulation, 2) cutting the scan to break self-occlusions automatically, 3) inpainting the geometry and texture in UV parametric space to create a complete avatar and 4) transferring the rigging information from the RPBM to the avatar. To further improve the fitting result, Semantic Deformation Component (SDC) is generated and utilized to replace the original shape blendshapes of the RPBM in the fitting stage, which can also be used for body reshaping. Our method is highly effective and robust in rigging the raw human scan models.
