一种新的截断线及标志点处缺失相位插补方法

在基于相位信息的三维面形测量中,为了得到正确的相位展开而引入的截断线和为了便于三维拼接而附加在物体表面的标志点都会造成其覆盖区域的相位缺失,需要进行人为地插补修复。一种新的缺失相位插补方法——八方向梯度估算法,通过计算待插补点周围八方向梯度和其八邻域内的相位平均值,可估算出缺失的相位。与其它常用缺失相位插补方法相比,该方法运算速度快、插补效果好,运算过程无需人为参与,便于计算机自动实现,尤其适合于插补倾斜相位面上的较大标志点,有助于提高相位重建质量和在此基础上的三维面形重建质量。     

利用散斑嵌入条纹和查找表进行三维面形测量

为了快速、准确地重建复杂场景的三维面形,提出了一种利用散斑嵌入相移条纹图案和截断相位-高度查找表的三维面形测量方法。将散斑作为辅助信号嵌入到四步相移条纹图案的相位分布中,得到待投影的复合条纹图案。利用相移算法解调出被测物体的截断相位和额外的散斑信息。利用查找表得到截断相位对应的多个候选高度,再利用散斑对条纹周期进行标记以解决高度歧义问题,唯一确定截断相位所对应的正确高度,以实现被测物体三维面形的快速重建。该方法直接从截断相位信息中重建三维面形,无需投影任何附加图案,也无需进行相位展开。理论分析和实验结果表明,该方法可以实现动、静态复杂场景三维形貌的高精度测量且鲁棒性好。     

基于传像束的小视场双目结构光三维形貌恢复

提出基于传像束传像和双目结构光相结合的三维测量系统,实现对无法直接成像场景,如爆轰、冲击等环境下的小视场物体三维面形测量.测量时,结构光直接投影到待测物体表面,变形条纹图像首先被成像到传像束前端面,再被传递到传像束后端面,并最终被成像到相机像平面,再由三频相位展开技术计算出对应相位分布后,即可根据双目匹配计算出待测物体...     

基于椭圆形光强分布光栅投影的三维面形测量方法

基于椭圆形光强分布光栅投影测量物体三维面形的方法,将椭圆形光强分布光栅投影到被测物体表面,用摄像机获取变形条纹图,通过系统参量和条纹图携带的相位信息求解出物体的三维面形.推导出通过椭圆形光强分布光栅条纹求解相位的计算公式并对提出方法作了计算机仿真.实验结果表明该方法可以比较准确地测量物体的三维面形,在噪音较大的情况下测量结果仍具有较高准确度.     

基于椭圆形光强分布光栅投影的三维面形测量方法

基于椭圆形光强分布光栅投影测量物体三维面形的方法,将椭圆形光强分布光栅投影到被测物体表面,用摄像机获取变形条纹图,通过系统参量和条纹图携带的相位信息求解出物体的三维面形.推导出通过椭圆形光强分布光栅条纹求解相位的计算公式并对提出方法作了计算机仿真.实验结果表明该方法可以比较准确地测量物体的三维面形,在噪音较大的情况下测量结果仍具有较高准确度.     

一种无需标记的在线三维测量方法

提出了一种无需标记的物体在线三维面形测量方法。将一固定的正弦条纹投影到待测运动物体上,借助物体运动产生等效的相移变形条纹。基于傅里叶变换轮廓术的调制度对各帧变形条纹计算,提取其具有某一特定分布的特征区域,采用相关度最大法,检测各帧变形条纹对应的调制度特征区域的位移量来检测出物体的移动,从而实现像素匹配,得到一组像素坐标完全一一对应的等效相移变形条纹图。利用Stoilov相移算法得到物体的截断相位,利用位相展开算法展开位相,通过位相和高度映射即可实现在线移动物体的面形测量。通过计算机仿真验证了该方法的可行性。     

基于调制度层析的在线三维测量方法

调制度反映相位展开可靠性的程度,与物体本身灰度和形状有着紧密的关系,因此可作为测量的特征标记。提出了一种采用调制度层析实现在线三维测量的方法。通过投影一固定的正弦条纹到待测运动物体上,借助物体运动可产生等效的相移变形条纹。利用基于傅里叶变换轮廓术调制度模型计算各帧等效的相移变形条纹的调制度,并采用层析方法从各帧调制度分离出反映待测物体的调制度层析特征,以该层析信息作为特征模板,实现像素匹配,从而获取各帧具有一致像素坐标的等效相移变形条纹,实现在线移动物体的三维面形测量。实验证明了该方法的可行性和实用性。     

基于自适应条纹的高反光表面三维面形测量方法

提出了一种基于图像融合和插值预测的自适应条纹投影方法。该方法首先基于多幅掩模图像融合求取了最佳投影灰度值所需的饱和阈值,并结合插值预测查找算法求得了最佳投影灰度值;然后通过降低整体投影强度,在不饱和情况下进行了坐标匹配,最终生成自适应条纹;最后将生成的自适应条纹投射至被测物体,并利用外差式多频相移法进行了相位解算和三维面形重构。实验结果表明:所提方法实现了局部过曝区域的相位信息的完整提取,绝对方向和正向的平均误差与标准偏差值均小于传统方法,且绝对方向平均误差减少了84.1%,正向标准偏差值减少了69.4%。所提方法有效地解决了高反光物体三维面形测量的难题。     

基于相位追踪的水中物体三维面形测量

提出一种基于相位追踪和光线迫迹算法测量水中物体三维形貌的新方法.该方法利用正弦面结构光来记录物体的三维面形数据,首先由投影仪投出止弦条纹图来调制淹没于水中物体的三维信息,摄像机拍摄获得物体表面的变形条纹图,然后利用相位追踪算法确定投影条纹和变形条纹之间的对应点,最后对相应的匹配点对进行光线追迹计算后,可以恢复出物体的三维形貌.由于使用面结构光进行测量,无需移动装置来实现对物体的一维或二维全场扫描,这样既节约了经济成本又缩短了测量时间.利用该方法进行了实际测量,得到了较好的重建结果,证明了本方法的正确性和可行性.     

Gerchberg迭代法在三维面形测量中的应用

在基于结构光照明的三维面形测量中,针对有孤立区域物体的条纹图像存在不规则缺陷的问题,提出先对其进行Gerchberg迭代,消除或减少条纹缺陷,获取较完善的迭代条纹,然后再利用傅里叶变换轮廓术(FTP)重建面形。设计了迭代流程,并分析了影响迭代精度的因素,解决了光学加工用具磨盘表面不完善条纹Gerchberg迭代过程中存在的问题,成功地重建了磨盘的三维面形。该工作为表面存在孤立区域的被测物体三维面形测量提供了可供参考的技术方案,也给可实时形变的应力盘三维面形动态测量奠定了基础。     

An improved edge detection algorithm for depth map inpainting

Three-dimensional (3D) measurement technology has been widely used in many scientific and engineering areas. The emergence of Kinect sensor makes 3D measurement much easier. However the depth map captured by Kinect sensor has some invalid regions, especially at object boundaries. These missing regions should be filled firstly. This paper proposes a depth-assisted edge detection algorithm and improves existing depth map inpainting algorithm using extracted edges. In the proposed algorithm, both color image and raw depth data are used to extract initial edges. Then the edges are optimized and are utilized to assist depth map inpainting. Comparative experiments demonstrate that the proposed edge detection algorithm can extract object boundaries and inhibit non-boundary edges caused by textures on object surfaces. The proposed depth inpainting algorithm can predict missing depth values successfully and has better performance than existing algorithm around object boundaries.     

小波相位分析测量成像径向畸变

为了测量光学成像像面各个像素的径向畸变大小,提出将小波变换载频条纹相位分析应用于径向畸变测量。采用正弦载波条纹作为测量模板,把径向畸变转化为径向调制相位。应用条纹相位分析导出径向调制相位和径向畸变的转化关系。采用小波频率估计和相位估计提取变形条纹的相位,由于变形条纹中心点是零畸变,中心点的瞬时频率和相位可以计算参考条纹的基频相位。两种基频相位之差就是与所有像素径向位置畸变分布对应的三维调制相位——称为径向畸变分布。利用校正公式和立方卷积插值算法对彩色畸变图像进行校正,给出详细的理论分析和实验结果。     

A novel color fringe projection based Fourier transform 3D shape measurement method

A novel Fourier transform 3D shape measurement method based on color fringe projection is proposed in order to solve the spectrum overlapping and phase unwrapping problems existed in Fourier transform profilometry (FTP). The R and G components of the color fringe are set to two sinusoidal patterns with different frequencies and the B component is set to the average value of R or G component. Then this pattern is projected to the object and the deformed fringe image is captured. Three gray patterns are separated from the color fringe, the background and high frequency noise can be eliminated using our method and the accurate unwrapped phase can be got. Only one shot color pattern is projected to get the 3D information of the object. Experiment results show that the 3D information of an object can be obtained rapidly and accurately.     

BP neural network applied to 3D object measurement based on fringe pattern projection

In the fringe projection profilometry, the traditional triangle method, such as Fourier-transform profilometry (FTP), is difficult to recover the stepped shape object from the deformed fringe pattern. In order to solve this problem, the neural network is introduced to deal with this kind of fringe patterns and gain the three-dimensional (3D) information of the measured object. By training the network, the relationship between the deformed fringe pattern and the height of the object can be obtained, and thereby the height of the object can be obtained. Furthermore, the object can be reconstructed perfectly without knowing the optical parameters of the experiment system. An obvious merit of this network method is that it can recover the 3D object in a short time and only need one deformed fringe pattern. Computer simulations and experiment validate the feasibility of the method.     

基于傅里叶变换解相法的像增强管多参数测量

 提出一种基于傅里叶变换解相法的像增强管成像质量多参数同时测量的新方法。将一正弦光栅图输入到像增强管,如果像增强管成像质量存在问题,将使图像输出发生改变,形成一变形条纹,采用傅里叶变换解相法对输出的变形条纹进行解相,可同时获得放大率、放大率不均匀度、枕形畸变、桶形畸变、蛇形畸变、剪切畸变等相关信息,对测量系统进行标定,即可实现对上述参数的同时测量。实验测得中心放大率与设定放大率的差值到了10-3量级,测得的畸变和畸变真值两者差异在0.4 pixel以内,结果证明了方法的有效性。     

傅里叶变换轮廓术中相位失真的预矫正方法

介绍了一种基于傅里叶变换轮廓术的三维面形测量系统中相位失真的预矫正方法。由于投影系统和成像系统的空间三角位置关系、投影仪的发散照明和两套系统蕴含的光学畸变,投影一幅相位与空间坐标成理想线性关系的标准正弦光场,拍摄到的条纹相位和空间坐标不再呈线性分布,引起相位失真,甚至会影响系统测量精度。该方法借鉴反向条纹投影的思想,计算拍摄光场的非线性相位分布与理想的线性相位分布之间的关系,预先矫正,反算出一个新的待投影光场。实验结果表明这种方法能有效地减小该类相位失真所导致的测量误差,获得了更好的测量结果．     

基于彩色光栅投影的快速三维测量方法

 针对条纹投影术提取物体高度信息的问题,提出了一种新的基于彩色光栅投影的三维测量方法。对选取G分量为255,R,B分量各取0或255而组成的青、白、黄、绿四色遵循格雷码原理进行编码,然后将G分量作正弦调制形成投影光栅投向被测物体。提取采集到的光栅变形图中G分量,利用傅里叶变换方法得到其初始相位;同时对采集到图像中的R,B分量作阈值迭代分割而G分量自动赋值为255,综合三分量信息得到条纹颜色信息进而获取条纹的周期信息,从而展开相位。全过程仅需投影一幅彩色光栅图就能完成三维测量,实验结果表明该算法易于实现,在测量实时性和精确性上表现良好。     

A composite-structured-light 3D measurement method based on fringe parameter calibration

This paper proposes a novel method for reducing measurement error caused by spectrum overlapping in composite-structured-light 3D measurement systems. For a composite-structured-light 3D measurement system, spectrum overlapping causes parameters of each deformed phase-shifting fringe to change, and therefore leads to phase measurement errors. The proposed fringe parameter calibration method is based on the fact that variations in each deformed fringe's parameters are independent of height and reflectivity of the measured object. Three frames of composite grating are projected on the reference plane, and each carrier channel includes the information of three phase-shifting sinusoidal gratings used in Phase Measuring Profilometry (PMP). With the parameter calculation formulas of PMP, the parameters of fringes demodulated from the same carrier channel can be calculated, and therefore parameter relation coefficients between fringes demodulated from different carrier channels may be obtained. When an object is measured, these relation coefficients can be used to calibrate the parameters of the deformed phase-shifting fringes. A new 3D measurement mathematical model is established to reconstruct the shape of the object. Experimental data proved that the proposed method can effectively restrain the effect of spectrum overlapping and improve measurement accuracy by more than three times.     

基于神经网络的闪光照相网栅图像修补

提出了一种基于径向基函数（RBF）神经网络的闪光照相网栅图像修补算法,该方法采用滑动窗口方法将待修补的网栅图像分为若干子块,然后在每个子图像内分别引入RBF神经网络,将栅孔内图像作为已知数据计算RBF网络参数,并以此对每个子图像进行修补,数值试验表明,该算法能较好地再现图像边缘信息,修复的图像在信噪比和视觉方面都优于线性插值和样条插值的结果。     

Computer Simulation of a 3-D Sensing System with Structured Illumination

A computer simulation system of three-dimensional sensing with structured illumination is presented. It includes the generation of deformed fringe patterns from 3-D shapes and the reconstruction of 3-D shapes, conversely. Some experimental results of the deformed fringe pattern and the reconstructed object shapes are presented. We have also discussed the effect of some major system parameters on the measurement results and considered how to correct these parameters according to the measurement result of the standard plane. Using this simulation system, the major system parameters: environmental conditions, measurement accuracy and algorithm evaluation of the 3-D shape measurement system based on PMP, FTP, SPM, etc., can be researched. © 1997 Elsevier Science Ltd. All rights reserved.