Graphics enhanced version of this site

Texture Replacement in Real Images
Y. Tsin, Y. Liu, and V. Ramesh
IEEE Conference on Computer Vision and Pattern Recognition, Vol. 2, December, 2001, pp. 539 = 544.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Adobe portable document format (pdf) [731 KB]
Compressed postscript (ps.gz) [7075 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patterns in an image while preserving lighting effects, shadows and occlusions. To achieve convincing replacement results we have to detect texture patterns and estimate lighting map from a given image. Near regular planar texture patterns are considered in this paper. Given a sample texture patch, a standard tile is computed. Candidate texture regions are determined by mutual information between the standard tile and each image patch. Regions with high mutual information scores are used to estimate the admissible lighting distributions, which is represented by cached statistics. Spatial lighting change constraints are represented by a Markov random field model. Maximum a posteriori estimation of the texture segmentation and lighting map is solved in a stochastic annealing fashion, namely, the Markov Chain Monte Carlo method. Visually satisfactory result is achieved using this statistical sampling model.

Associated center: VASC
Associated lab/group: Computational Symmetry
Associated projects: Texture Replacement in Real Images and A Computational Model for Repeated Pattern Perception using Crystallographic Groups

Number of pages: 6

Y. Tsin, Y. Liu, and V. Ramesh, "Texture Replacement in Real Images," IEEE Conference on Computer Vision and Pattern Recognition, Vol. 2, December, 2001, pp. 539 = 544.

@inproceedings{Tsin_2001_3814,
   author = "Yanghai Tsin and Yanxi Liu and Visvanathan Ramesh",
   title = "Texture Replacement in Real Images",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition",
   month = "December",
   year = "2001",
   volume = "2",
   pages = "539 = 544"
}