Li Beiwen, Zhang Song
Appl Opt. 2014 Nov 20;53(33):7942-50. doi: 10.1364/AO.53.007942.
For structured light system calibration, one popular approach is to treat the projector as an inverse camera. This is usually performed by projecting horizontal and vertical sequences of patterns to establish one-to-one mapping between camera points and projector points. However, for a well-designed system, either horizontal or vertical fringe images are not sensitive to depth variation and thus yield inaccurate mapping. As a result, the calibration accuracy is jeopardized if a conventional calibration method is used. To address this limitation, this paper proposes a novel calibration method based on optimal fringe angle determination. Experiments demonstrate that our calibration approach can increase the measurement accuracy up to 38% compared to the conventional calibration method with a calibration volume of 300(H) mm×250(W) mm×500(D) mm.
对于结构光系统校准,一种流行的方法是将投影仪视为反向相机。这通常通过投影水平和垂直的图案序列来执行,以建立相机点和投影仪点之间的一一映射。然而,对于一个设计良好的系统,水平或垂直条纹图像对深度变化不敏感,因此会产生不准确的映射。结果,如果使用传统的校准方法,校准精度将受到影响。为了解决这一限制,本文提出了一种基于最佳条纹角度确定的新型校准方法。实验表明,与传统校准方法相比,在校准体积为300(高)毫米×250(宽)毫米×500(深)毫米的情况下,我们的校准方法可以将测量精度提高38%。