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首页> 外文学位 >Camera/projector-based document/object capture system using structured light: Reflectance map image quality assessment and design of structured light patterns and analysis algorithms.
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Camera/projector-based document/object capture system using structured light: Reflectance map image quality assessment and design of structured light patterns and analysis algorithms.

机译：使用基于结构化光的基于摄像机/投影仪的文档/物体捕获系统：反射率图图像质量评估以及结构化光图案和分析算法的设计。

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摘要

The use of mobile phone camera technology in systems for capture of documents or three-dimensional objects is becoming increasingly popular. The product TopShot LaserJet Pro M275 MFP introduced by the Hewlett-Packard Company (HP) in 2011 is an example of such a system. While providing more flexibility and potential applications, such systems pose special image quality concerns due to the fact that the underlying camera and illumination technologies are inherently low-cost. A specially designed composite target and an automatic analysis tool for image quality inspection of camera-based document/object capture systems will be introduced. The method automatically finds all the components of the target and analyzes various image quality metrics. This novel composite target and the tool can be used in both the research laboratory and on the manufacturing line, and were very effective in picking out units with defects. The criteria and thresholds for final production are chosen based on visual inspection of image data from hundreds of pre-production units. Currently, our solution is used in mass manufacturing, and shows effectiveness in failing units with low image quality, as well as saving manufacturing time.;Speaking of applications, 3D shape reconstruction is one of the most important topics in computer vision due to its wide field of application. Among various technologies, structured light is considered to be one of the most reliable techniques. A low-cost structured light 3D reconstruction system is built around HP Topshot at Purdue University and the automatic 3D capture software is developed. The problem of finding correspondences is addressed by the newly designed 6-symbol M-array pattern with guaranteed minimum Hamming distance of three among all 3-by-3 windows. The decoding algorithm allows successful identification of most symbols, and corrects one possible error or missing symbol in each 3-by-3 window. To shorten the working distance, two pico-projectors with their field of view overlapped are used to cover the platen which holds objects. To separate the projected patterns from two projectors, we use different colors in each binary M-array pattern. The optimal values of the two colors are determined by the pattern search method with the presence of noise, which is modeled as multivariate Gaussian noise. A spectral analysis based model of the projector-camera system will be presented. The camera sensor's responses to the projector are measured after linearization with gray balance curves. The system noise characteristics are also measured for different input colors. After being properly calibrated, based on one image shot of the object with binary M-array patterns projected on it, the system can calculate the 3D coordinates of points on object surface, and therefore obtain the 3D shape of the object.
机译：在用于捕获文档或三维物体的系统中使用移动电话摄像头技术变得越来越普遍。惠普公司（HP）在2011年推出的TopShot LaserJet Pro M275 MFP产品就是这种系统的一个示例。在提供更多灵活性和潜在应用的同时，由于底层的摄像头和照明技术本质上是低成本的事实，此类系统带来了特殊的图像质量问题。将介绍专门设计的合成目标和自动分析工具，用于基于相机的文档/对象捕获系统的图像质量检查。该方法自动找到目标的所有组成部分并分析各种图像质量指标。这种新颖的复合靶材和工具可用于研究实验室和生产线，并且在挑选有缺陷的部件方面非常有效。根据目测检查来自数百个预生产单元的图像数据，选择最终生产的标准和阈值。当前，我们的解决方案用于批量生产，并且在低画质的故障单元中显示出有效的效果，并且可以节省制造时间。在应用程序方面，3D形状重构由于其广泛的应用范围而成为计算机视觉中最重要的主题之一。应用领域。在各种技术中，结构光被认为是最可靠的技术之一。围绕普渡大学的HP Topshot构建了一种低成本的结构化轻型3D重建系统，并开发了自动3D捕获软件。新设计的6符号M阵列模式解决了找到对应关系的问题，该模式在所有3×3窗口中保证最小汉明距离为3。解码算法可成功识别大多数符号，并在每个3×3窗口中纠正一个可能的错误或符号丢失。为了缩短工作距离，使用了两个微型投影仪，它们的视场重叠，以覆盖固定对象的压板。为了将投影图案与两台投影仪分开，我们在每个二进制M阵列图案中使用不同的颜色。这两种颜色的最佳值是通过模式搜索方法在存在噪声的情况下确定的，该噪声被建模为多元高斯噪声。将介绍基于光谱分析的投影机-摄像机系统模型。相机传感器对投影机的响应是在使用灰平衡曲线进行线性化之后测量的。还针对不同的输入颜色测量了系统噪声特性。经过正确校准后，系统会根据投射有二进制M阵列图案的物体的一幅图像，计算出物体表面上点的3D坐标，从而获得物体的3D形状。

著录项

  • 作者

    Lei, Yang.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Electrical engineering.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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