Texture overlay onto flexible object with PCA of silhouettes and k-means method for search into database

Hiroshi Tanaka, Hideo Saito

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

5 Citations (Scopus)

Abstract

In this paper, we propose a method to overlay an arbitrary texture onto a T-shirt worn by a user. To realize such a system, two phases, an offline phase and an online phase are required. During the offline phase, we use a T-shirt with several markers for training images and establishing a correspondence between the shape of the T-shirt area and the array of markers. During the online phase, we use a T-shirt without any markers for the input image and search for a training image which has the most similar shape to the input image. By using markers from the selected training image, we overlay a texture onto the input image. In this method, we represent the shape of a T-shirt based on its contour so that we can handle occlusion by the hands when the hands cross over the T-shirt. In addition, the computation time is reduced by using PCA and K-means method, which enables our system to work in real time.

Original languageEnglish
Title of host publicationProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
Pages5-8
Number of pages4
Publication statusPublished - 2009 Dec 1
Event11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan
Duration: 2009 May 202009 May 22

Publication series

NameProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009

Other

Other11th IAPR Conference on Machine Vision Applications, MVA 2009
Country/TerritoryJapan
CityYokohama
Period09/5/2009/5/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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