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A NURBS based 3D object reconstruction using colour-coded structured light.

机译:使用颜色编码的结构化光源的基于NURBS的3D对象重建。

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摘要

This thesis introduces a new robust and high precision methodology and corresponding techniques for reconstructing three-dimensional (3-D) views of real objects from one single two-dimensional (2-D) image. The reconstruction process relies on obtaining the two dimensional image of a real object from a camera, on which a colour coded structured light is projected. The method does not require any a-priori knowledge of the absolute positioning or orientation of the camera and the projector which illuminates the scene with the colour coded structured light. Prior to the 3-D reconstruction steps, a calibration process is used to provide a high precision calculation of both the camera's and the projector's intrinsic and extrinsic parameters. These parameters are essential to the 3-D object reconstruction technique as introduced in this thesis. The structured light is used to determine unique patterns on the object's surface. The lines provide a series of control points which once extracted from the object's 2-D view, are used in the creation of Non-Uniform Rational B-Spline (NURBS) curves in 2-D. Those NURBS curves are then projected into space to eventually re-create a 3-D surface. The technique's precision depends on the structured light sampling rate adaptation on the object surface. In a recent test, a 7 tau (thousands of an inch) precision was achieved with a relatively smooth object.; The thesis will focus on the 3-D reconstruction of an object based on its single 2-D view. The approach proposed is end-to-end since it handles all the steps necessary to go from a 2-D view of an object to its modelization using NURBS curves and eventually to a surface in 3-D which can be manipulated with 3-D editing software on a computer monitor. The thesis's results are applicable to many domains. One of those domains is the CAD/SLA systems for manufacturing applications. Furthermore, NURBS surfaces can compress the 3-D image of a real object in a very efficient manner.
机译:本文介绍了一种用于从单个二维(2-D)图像重建真实对象的三维(3-D)视图的鲁棒,高精度的方法和相应技术。重建过程依赖于从摄像机获得真实物体的二维图像,在该二维图像上投影有颜色编码的结构化光。该方法不需要先验知识的照相机和投影仪的绝对位置或方向,它们可以用颜色编码的结构光照亮场景。在3-D重建步骤之前,将使用校准过程对相机和投影仪的本征和非本征参数进行高精度计算。这些参数对于本文介绍的3D对象重建技术至关重要。结构光用于确定物体表面的独特图案。这些线提供了一系列控制点,这些控制点一旦从对象的2D视图中提取出来,便会用于创建2D中的非均匀有理B样条曲线(NURBS)曲线。然后将这些NURBS曲线投影到空间中,以最终重新创建3D表面。该技术的精度取决于对象表面的结构化光采样率适应性。在最近的测试中,相对光滑的物体达到了7 tau(千英寸)的精度。本文将着重于基于单个2D视图的对象的3D重建。提议的方法是端到端的,因为它处理了从对象的2D视图到使用NURBS曲线进行建模以及最终到达可以由3-D操作的3-D表面所需的所有步骤。在计算机显示器上编辑软件。本文的研究结果适用于许多领域。这些领域之一是用于制造业的CAD / SLA系统。此外,NURBS表面可以以非常有效的方式压缩真实对象的3D图像。

著录项

  • 作者

    Lavoie, Philippe.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 197 p.
  • 总页数 197
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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