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自适应面具的快速稠密立体匹配技术研究

, PP. 11-20

Keywords: 双目视觉,相位相关,自适应面具,稠密匹配

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Abstract:

文中提出一种稠密点云快速立体匹配方法,该方法以传统相位相关算法为基础,通过对匹配点梯度估计的方法自适应叠加离散面具,增加近似同一深度区域的匹配权重,使重构精度与可信度得以提升.通过储存与重复利用二维傅里叶变换的中间结果大幅提高算法的计算效率.由于该算法符合SIMD模型规则,因此GPU的并行计算能力使得匹配过程基本达到了实时性要求.实验表明,该快速相位相关算法对短基线平行光轴被动立体视觉系统所采集的光滑不规则漫反射物体表面具有较好地快速重构能力,因此可在诸如三维人脸识别等领域得到广泛应用。

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