Texture overlay for virtual clothing based on PCA of silhouettes

Jun Ehara, Hideo Saito

研究成果: Conference contribution

27 被引用数 (Scopus)

抄録

In this paper, we propose a method for overlaying an arbitrary texture image onto a surface of a plain T-shirt worn by a user. For overlaying arbitrary textures onto the surface of the T-shirt, we need to know the deformation of the surface. For estimating the deformation of the surface from the input images, we use a two-phase process: learning and searching. In the learning phase, the system learns the relationship between the deformation of the surface and the silhouette of the T-shirt region in the image. A database of a number of training images in which a person wearing a T-shirt with markers moves through a variety of positions is used for this learning. Using the database, the system can learn the relationship between the shape of the silhouette and the surface deformation that is provided by the 2D positions of the markers on the surface of the T-shirt. In the searching phase, the silhouette of the user's T-shirt is extracted from the input image, and then, a search for a similar silhouette in the database is conducted in the subspace of the silhouette, which is computed using a PCA of the database. By using the proposed method for estimating the deformation of the surface of the T-shirt, we perform experiments for overlaying virtual clothing.

本文言語English
ホスト出版物のタイトルProceedings - ISMAR 2006
ホスト出版物のサブタイトルFifth IEEE and ACM International Symposium on Mixed and Augmented Reality
出版社Institute of Electrical and Electronics Engineers Inc.
ページ139-142
ページ数4
ISBN(印刷版)1424406501, 9781424406500
DOI
出版ステータスPublished - 2006 1 1
イベントISMAR 2006: 5th IEEE and ACM International Symposium on Mixed and Augmented Reality - Santa Barbara, CA, United States
継続期間: 2006 10 222006 10 25

出版物シリーズ

名前Proceedings - ISMAR 2006: Fifth IEEE and ACM International Symposium on Mixed and Augmented Reality

Other

OtherISMAR 2006: 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
CountryUnited States
CitySanta Barbara, CA
Period06/10/2206/10/25

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software

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