多基线三联眼相机模型立体匹配优化

Jie Wang, Chenglei Peng, Ming Li, Xudong Chen, S. Du, Yang Li
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引用次数: 6

摘要

本文主要研究了利用多基线三眼相机模型加速立体匹配的问题。为了优化匹配成本计算和成本聚合步骤,通过缩小视差搜索范围,设计了一种特殊的三视动态视差范围(T-DDR)方案。在此基础上,我们提出了用于三目立体匹配的T-DDR-SGM算法。评估结果表明,T-DDR-SGM可以显著降低计算复杂度,但精度略有提高。实验证明了所提出的三视立体匹配优化方法是有效的,三视立体匹配有助于降低计算复杂度。
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Stereo Matching Optimization with Multi-baseline Trinocular Camera Model
In this paper, we focused on accelerating the stereo matching by using multi-baseline trinocular camera model. To optimize matching cost calculation and cost aggregation steps, we designed a special scheme called the trinocular dynamic disparity range (T-DDR) by narrowing disparity searching range. Based on that, we proposed the T-DDR-SGM for trinocular stereo matching. Evaluation results showed that T-DDR-SGM could significantly reduce the computational complexity with slightly improving the accuracy. We proved that the proposed optimization methods for the trinocular stereo matching are effective and the trinocular stereo matching is useful for reducing computational complexity.
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