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Fixed window aggregation AD-census algorithm for phase-based stereo matching.

Shengming Zhang, Mingxiong Wu, Yanxue Wu

    Applied Optics
    |December 25, 2019
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    Summary
    This summary is machine-generated.

    This study introduces a Fixed Window Aggregation AD-Census (FWA-AD-Census) algorithm for phase-based stereo matching. The new method balances efficiency and accuracy, offering performance comparable to AD-Census with reduced runtime.

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    Area of Science:

    • Computer Vision
    • 3D Reconstruction
    • Computational Imaging

    Background:

    • Phase-based stereo matching (PSM) is crucial for binocular structured light systems.
    • PSM faces challenges in balancing computational efficiency and accuracy, partly due to the Absolute Phase Matrix (APM) data type.
    • Existing methods like AD-Census offer accuracy at the cost of efficiency, while Sum of Absolute Difference (SAD) prioritizes efficiency over accuracy.

    Purpose of the Study:

    • To develop a novel algorithm that enhances the efficiency of phase-based stereo matching without compromising accuracy.
    • To address the trade-off between speed and precision in PSM by modifying the cost aggregation strategy.

    Main Methods:

    • Propose the Fixed Window Aggregation AD-Census (FWA-AD-Census) algorithm.
    • Modify the AD-Census algorithm by aggregating matching costs within a fixed support window, unlike the adaptive window used in standard AD-Census.
    • Analyze the suitability of fixed window aggregation for PSM.

    Main Results:

    • The FWA-AD-Census algorithm demonstrates a balance between efficiency and accuracy in PSM.
    • Simulations and experiments show that FWA-AD-Census achieves accuracy comparable to the more computationally intensive AD-Census.
    • The proposed method offers a significant reduction in run time compared to AD-Census.

    Conclusions:

    • The FWA-AD-Census algorithm effectively resolves the efficiency-accuracy dilemma in phase-based stereo matching.
    • Fixed window aggregation is a suitable strategy for improving PSM efficiency.
    • The proposed method provides a practical solution for real-time applications requiring accurate 3D reconstruction.