@article{4295,
  author = {Adiseshu Billa,Nelsonmandela S},
  title = {Optimizing Auto Facial Rigging for Character Animation Using Perseus Auto Rigger},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2024},
  volume = {15},
  number = {4},
  doi = {https://doi.org/10.6025/jmpt/2024/15/4/138-147},
  url = {https://www.dline.info/jmpt/fulltext/v15n4/jmptv15n4_2.pdf},
  abstract = {This research explores the impact of automated rigging technology on character
animation, focusing on the Perseus Auto Rigger for facial rigging optimization.
Through a qualitative review of the literature, the study examines efficiency
gains, quality improvements, user experience, educational implications, and
challenges associated with adopting automated tools in animation production.
Findings indicate significant time savings, enhanced rigging process consistency,
and improved accessibility for animators of varying skill levels. The Perseus Auto
Rigger emerges as a transformative tool in streamlining animation workflows
and facilitating creative expression, albeit with considerations for technical
complexities and creative control. This research contributes to understanding
the integration of automation in animation practices and suggests implications
for industry adoption and educational strategies.},
}