1 / 16

PEI YEAN LEE

TEXTURE SYNTHESIS. PEI YEAN LEE. What is texture?. Images containing repeating patterns Local & stationary. What is texture synthesis?. An alternative way to create textures Construction of large regions of texture from small example images. Texture Synthesis. Input. Result.

emily
Download Presentation

PEI YEAN LEE

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. TEXTURE SYNTHESIS PEI YEAN LEE

  2. What is texture? • Images containing repeating patterns • Local & stationary

  3. What is texture synthesis? • An alternative way to create textures • Construction of large regions of texture from small example images. Texture Synthesis Input Result

  4. Goal of texture synthesis ? • Given: a texture sample • Find : synthesize a new texture that, when perceived by a human observer, appears to be generated by the same underlying process.

  5. Application 1: Computer Graphics • Make things `look’ real • Rendering life-like animations

  6. Application 2: Image Processing • Image compression • Image restoration and editing

  7. Application 3: Computer Vision • To verify texture models for various tasks such as texture segmentation, recognition and Classification.

  8. Some definitions • Image pyramid • A collection of images of reduced resolutions of the original 1:1 image – 1:2n • Gaussian pyramid • Consists of a set of low-pass filtered versions of the image • Pg. 161 (Fig 7.17)

  9. Some definitions • Laplacian pyramid • Consists of a set of band-pass filtered versions of the image • Pg. 198 (Fig. 9.8)

  10. Approach 1: Physical simulation • Advantages: • produce texture directly on 3D meshes, thus avoid texture mapping distortion problem • Disadvantages: • Applicable only to small texture class

  11. Approach 2: Probability sampling • Zhu, Wu & Mumford (1998) • Markov Random Field (MRF) • Gibbs Sampling • Advantages: • Good approx. for wide range of textures • Disadvantages: • Computationally expensive

  12. Approach 3: Feature matching • Model textures as a set of features and generate new images by matching the features in an example feature. • Advantages: • More efficient than MRF

  13. Approach 3: Feature matching • Heeger & Bergen (1995) • model textures by matching marginal histograms of image pyramid • Advantages: • Works well for highly stochastic textures • Disadvantages: • Fails on more structured textures patterns such as bricks.

  14. Approach 3: Feature matching • De Bonet (1997) • Synthesizes new images by randomizing an input texture sample while preserving cross-scale dependencies • Advantages: • Works better on structured textures • Disadvantages: • Can produce boundary artifacts if the input texture is not tileable.

  15. Approach 3: Feature matching • Simoncelli & Portilla (1998) • Generate textures by matching the joint statistics of the image pyramids • Advantages: • Can capture global textural structures • Disadvantages: • Fails to preserve local patterns

  16. Web demo • http://graphics.stanford.edu/projects/texture/

More Related