Image-based texture replacement using multiview images

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Image-based texture replacement using multiview images

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Virtual Reality Software and Technology archive
Proceedings of the 2008 ACM symposium on Virtual reality software and technology table of contents

Bordeaux, France

SESSION: Video acquisition table of contents

Pages 185-192

Year of Publication: 2008

ISBN:978-1-59593-951-7

Authors

Doron Tal	Technion -- Israel Inst. of Technology
Ilan Shimshoni	University of Haifa
Ayellet Tal	Technion -- Israel Inst. of Technology

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

ACM New York, NY, USA

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ABSTRACT

Augmented reality is concerned with combining real-world data, such as images, with artifcial data. Texture replacement is one such task. It is the process of painting a new texture over an existing textured image patch, such that depth cues are maintained. This paper proposes a general and automatic approach for performing texture replacement, which is based on multiview stereo techniques that produce depth information at every pixel. The use of several images allows us to address the inherent limitation of previous studies, which are constrained to specifc texture classes, such as textureless or near-regular textures. To be able to handle general textures, a modifed dense correspondence estimation algorithm is designed and presented.

REFERENCES

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