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Depth estimation for speckle projection system using progressive reliable points growing matching.

Guijin Wang1, Xuanwu Yin, Xiaokang Pei

  • 1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. wangguijin@tsinghua.edu.cn

Applied Optics
|January 23, 2013
PubMed
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This study introduces a new depth estimation method using speckle projection images. The progressive reliable points growing matching scheme enhances accuracy and reduces computational cost for depth map generation.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Imaging

Background:

  • Depth estimation from speckle projection images is crucial for 3D reconstruction.
  • Existing methods often struggle with inconsistent intensity and computational complexity.

Purpose of the Study:

  • To develop a novel, efficient, and accurate depth estimation scheme for speckle projection images.
  • To improve disparity map accuracy through a progressive matching approach.

Main Methods:

  • A self-adapting binarization preprocesses the image to handle intensity variations.
  • Initial disparity map generation using local window-based correlation matching.
  • A progressive updating scheme with reliable point selection (matching degree, confidence, left-right consistency) and prediction-based growing matching.

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  • Subpixel interpolation and transformation for final depth map refinement.

    • Main Results:

    • The proposed scheme effectively estimates depth from speckle projection images.
    • Demonstrated low computational cost compared to existing methods.
    • Achieved accurate depth map generation through progressive refinement.

    Conclusions:

    • The progressive reliable points growing matching scheme offers an effective solution for depth estimation.
    • The method balances accuracy and computational efficiency, making it suitable for practical applications.