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An efficient depth map preprocessing method based on structure-aided domain transform smoothing for 3D view

Wei Liu1,2, Liyan Ma2, Bo Qiu3

  • 1Electromechanic Engineering College, Nanyang Normal University, Nanyang, Henan, China.

Plos One
|April 14, 2017
PubMed
Summary

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This summary is machine-generated.

This study introduces a novel depth map preprocessing framework for 2D to 3D conversion. The method effectively fills holes and refines depth maps, improving virtual view rendering quality.

Area of Science:

  • Computer Vision
  • Image Processing
  • 3D Graphics

Background:

  • Depth Image-Based Rendering (DIBR) is crucial for 2D to 3D conversion, generating virtual views from color images and depth maps.
  • DIBR often creates holes in 3D images due to unobserved scene areas, necessitating preprocessing.

Purpose of the Study:

  • To propose a structure-aided depth map preprocessing framework for efficient and high-quality 2D to 3D conversion.
  • To address limitations in DIBR by improving depth map accuracy and reducing artifacts.

Main Methods:

  • A transformed domain framework integrating hybrid constraints: scene structure, edge consistency, and visual saliency.
  • Adaptive smooth localization to minimize over-smoothing and enhance non-hole regions.
  • A unified approach for hole filling, edge correction, and local smoothing of depth maps.

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Main Results:

  • The proposed method effectively fills holes and corrects edges in depth maps.
  • It achieves visually satisfactory results with reduced computational complexity compared to existing methods.
  • Demonstrated excellent performance in numerical experiments for 2D to 3D conversion.

Conclusions:

  • The structure-aided depth map preprocessing framework offers an efficient solution for high-quality 2D to 3D conversion.
  • The integrated approach simultaneously handles hole filling, edge correction, and local smoothing.
  • This method provides a significant advancement in DIBR technology.