Volumetric Representation of Semantically Segmented Human Body Parts Using Superquadrics

Ryo Hachiuma, Hideo Saito

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルVirtual Reality and Augmented Reality - 16th EuroVR International Conference, EuroVR 2019, Proceedings
編集者Patrick Bourdot, Victoria Interrante, Luciana Nedel, Nadia Magnenat-Thalmann, Gabriel Zachmann
出版者Springer
ページ52-61
ページ数10
ISBN(印刷物)9783030319076
DOI
出版物ステータスPublished - 2019 1 1
イベント16th International Conference on Virtual Reality and Augmented Reality, EuroVR 2019 - Tallinn, Estonia
継続期間: 2019 10 232019 10 25

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11883 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference16th International Conference on Virtual Reality and Augmented Reality, EuroVR 2019
Estonia
Tallinn
期間19/10/2319/10/25

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Hachiuma, R., & Saito, H. (2019). Volumetric Representation of Semantically Segmented Human Body Parts Using Superquadrics. : P. Bourdot, V. Interrante, L. Nedel, N. Magnenat-Thalmann, & G. Zachmann (版), Virtual Reality and Augmented Reality - 16th EuroVR International Conference, EuroVR 2019, Proceedings (pp. 52-61). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11883 LNCS). Springer. https://doi.org/10.1007/978-3-030-31908-3_4