Theoretical Model and Experimental Investigation on Integrated Calibration in MFPP With a Bi-Telecentric Camera and a Scheimpflug Projector
Shiyong An, Pei Zhou, Jiangping Zhu, Hongyu Yang
Sichuan University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
This work establishes a microscopic fringe projection profilometry (MFPP) system consisting of a bi-telecentric camera and a pinhole Scheimpflug projector to maximize the common focus area between them. Currently, phase-height mapping (PHM) and stereoscopy (SV)-based calibration approaches are still two representative families. The former generally relies on a precise translation stage accompanied by two separate procedures including the camera parameters calibration and the PHM process, making the calibration task relatively complicated and expensive in terms of required operation and devices. The latter only via a calibration target is relatively simple and cheap to implement, but its accuracy fails to be guaranteed because it is difficult to undistort the projector by indirectly resorting to the camera. To cope with these issues, we propose a flexible integrated calibration (IC) solution for the specially designed 3-D system while maintaining a high measurement accuracy and a low requirement of operation and devices. It implements a pixel-wise lookup table (LUT) 3-D coordinate computation only via a low-cost calibration target. The phase artifacts of the dot target are addressed by phase optimization strategy. Furthermore, an optimization strategy is presented to exclude the measurement errors caused by the projector’s distortion and Scheimflug projection structure. The proposed framework effectively simplifies the calibration procedure and reserves the reconstruction accuracy. A theoretical model of the calibration solution is mathematically derived, and rich comparative experiments imply that it can obtain an average height error of$7~\mu \text{m}$around within the volume of$28\times 23\times5$mm, as well as a standard deviation (STD) of plane fitting error better than$5~\mu \text{m}$.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIOptical measurement and interference techniques
Digital Holography and Microscopy · Image Processing Techniques and Applications
参考文献 30
此处列出前 3 条
引用本文 2
按被引量排序,此处列出前 3 条