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A3Cplus: Efficient Anatomically Accurate Avatar Creation

Published: 15 April 2024 Publication History

Abstract

Virtual reality applications are witnessing increased adoption in mental and physical health fields, from rehabilitation therapies to psychological studies. The more advanced the application, the greater the demand to incorporate realistic, custom avatars based on the participant's physical characteristics to enhance embodiment. Current solutions focus on creating such avatars by using expensive camera arrays to capture a 3D representation, which requires technical skills and actively involves the participant in the process. However, equipment and space requirements, setup complexity for non-technical operators, and physical challenges for participants often lead to difficulties and high costs for consistent adherence. This paper presents A3Cplus, a tool to efficiently generate anatomically accurate avatars based solely on a small amount of participant phenotypic data. An optimized processing pipeline uses this data to manipulate specialized blend shapes automatically and mold a generic model into the correct dimensions. We provide illustrative examples of using our tool and discuss its general applicability to immersive avatar-based virtual environments that require a high degree of accuracy and embodiment.

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Published In

cover image ACM Conferences
MMVE '24: Proceedings of the 16th International Workshop on Immersive Mixed and Virtual Environment Systems
April 2024
101 pages
ISBN:9798400706189
DOI:10.1145/3652212
This work is licensed under a Creative Commons Attribution-NoDerivatives International 4.0 License.

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New York, NY, United States

Publication History

Published: 15 April 2024

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Author Tags

  1. Avatar Creation
  2. Blend Shapes
  3. Clinical and Therapeutic Applications
  4. Immersion
  5. Virtual Reality

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MMSys '24
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Overall Acceptance Rate 26 of 44 submissions, 59%

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