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Model and Algorithms for Point Cloud Construction Using Digital Projection Patterns

机译:基于数字投影模式的点云构建模型与算法

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This paper describes a computational framework for constructing point clouds using digital projection patterns. The basic principle behind the approach is to project known patterns on the object using a digital projector. A digital camera is then used to take images of the object with the known projection patterns imposed on it. Due to the presence of 3D faces of the object, the projection patterns appear distorted in the images. The images are analyzed to construct the 3D point cloud that is capable of introducing the observed distortions in the images. The approach described in this paper presents three advances over the previously developed approaches. First, it is capable of working with the projection patterns that have variable fringe widths and curved fringes and hence can provide improved accuracy. Second, our algorithm minimizes the number of images needed for creating the 3D point cloud. Finally, we use a hybrid approach that uses a combination of reference plane images and estimated system parameters to construct the point cloud. This approach provides good run-time computational performance and simplifies the system calibration.
机译:本文介绍了一种使用数字投影模式构建点云的计算框架。该方法背后的基本原理是使用数字投影仪将已知图案投影到物体上。然后,使用数码相机拍摄具有已知投影图案的物体的图像。由于对象的3D面的存在,投影图案在图像中显得失真。分析图像以构建能够在图像中引入观察到的失真的3D点云。本文描述的方法比以前开发的方法提出了三项进步。首先,它能够使用具有可变条纹宽度和弯曲条纹的投影图案,因此可以提供改进的精度。其次,我们的算法将创建3D点云所需的图像数量减到最少。最后,我们使用一种混合方法,该方法结合了参考平面图像和估计的系统参数来构建点云。这种方法提供了良好的运行时计算性能,并简化了系统校准。

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