Volumetric representation of human body parts using superquadrics

Ryo Hachiuma, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Superquadrics are one of the ideal shape representations for adapting various kinds of primitive shapes with a single equation. This paper revisits the task of representing a 3D human body with multiple superquadrics. As a single superquadric surface can only represent symmetric primitive shapes, we present a method that segments the human body into body parts to estimate their superquadric parameters. Moreover, we propose a novel initial parameter estimation method by using 3D skeleton joints. The results show that superquadric parameters are estimated, which represent human body parts volumetrically.

Original languageEnglish
Title of host publicationAdjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-188
Number of pages2
ISBN (Electronic)9781728147659
DOIs
Publication statusPublished - 2019 Oct
Event18th IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019 - Beijing, China
Duration: 2019 Oct 142019 Oct 18

Publication series

NameAdjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019

Conference

Conference18th IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019
CountryChina
CityBeijing
Period19/10/1419/10/18

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Keywords

  • Semantic segmentation
  • Superquadrics

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Media Technology

Cite this

Hachiuma, R., & Saito, H. (2019). Volumetric representation of human body parts using superquadrics. In Adjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019 (pp. 187-188). [8951953] (Adjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct.2019.00-50