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
CountryJapan
CityYokohama
Period09/5/2009/5/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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