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Stereo Refinement For Photo Editing.pdf

MItech-TR-101.pdf
Preview of Stereo Refinement for Photo Editing
🔗 Source: cerv.aut.ac.nz
📊 Size: 10.74 MB
📄 Pages: 8 pages
⬇️ Downloads: 146

Summary

Dongwei Liu and Reinhard Klette present a method for refining depth information generated by a stereo-matching algorithm for photo editing applications. The method uses structural features of the base image to enhance the depth information, addressing issues such as holes, speckle noise, and invalid step-edges in the disparity map. The process involves pre-processing the disparity map, mean-shift segmenting the base image, applying a median filter, and using a joint bilateral filter to remove invalid step-edges. Experiments demonstrate the effectiveness of the method in refining the depth map for photo editing.

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Description

Dongwei Liu and Reinhard Klette present a method for refining depth information generated by a stereo-matching algorithm for photo editing applications.

Technical Information

  • File Format: PDF
  • File Size: 10.74 MB
  • Pages: 8
  • Language: EN
  • Total Downloads: 146
  • Last Updated: 4 weeks ago

Document Overview

This PDF document about Stereo Refinement for Photo Editing provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Stereo Refinement for Photo Editing.

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If you're interested in Stereo Refinement for Photo Editing, you might also want to explore:

Stereo guideStereo tutorialRefinement guideRefinement tutorialPhoto guidePhoto tutorialEditing guideEditing tutorial

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