摘要近年来基于结构光三维表面形貌测量技术的研究迅速发展，应用于 机器视觉，虚拟现实，工程测量等方面。同时由于计算机硬件的发展， 人们对于计算机所能呈现的视觉信息要求也越来越高，显示内容不再局 限于二维而拓展至三维。三维重构就是以实际物体为依托，通过激光扫 描，全息，激光测距等多种方式收集物体三维信息，并将之呈现出来的 技术。75288

本文从结构光三维表面形貌测量技术的研究现状出发，通过探讨当 前研究现状中的三维重构方法无法快速还原小型被测物体，构建三维信 息数据，不利于估算当前工程价值等问题。提出了一种快速的结构光三 维还原方法，包括便携式激光扫描硬件，结构光三维还原软件的设计， 旨在实现一种能够通过简单的便携式三维激光扫描硬件配合三维还原算 法的软件快速还原出物体三维信息的系统，使结构光三维重建技术能够 应用于更便捷广泛的工程技术环境中。

毕业论文关键词 结构光，iOS，三维重构，OpenCV，OpenGL

Title    Based on the structure light 3d surface topography measurement  of  iOS  technology  research

Abstract In recent years, based on the structure light 3d surface topography measurement technology rapid development research, applied to machine vision, virtual reality, engineering surveying, etc。 At the same time, thanks to the development of computer hardware demands for computer can the visual information presented by people more and more is also high, according to the content is no longer limited to the 2d and expand into the 3d。 Three-dimensional reconstruction is based on the actual object, by scanning laser, holographic, 3d laser range and so on a variety of ways to collect object information, and present technology。

Based on the structure light 3d surface topography measurement technology research present situation, by discussing the current research status of 3d reconstruction method can't rapid reduction of small objects to be tested, build information data, is not conducive to estimate the current value engineering problems。 Proposes a rapid method of structured light 3d reduction, including portable laser scanning hardware, the design of the structure light 3d reduction software, to achieve a can through simple portable 3d laser scanning hardware with three dimensional reduction algorithm software to quickly restore the three-dimensional information of the object system, the structure light 3d reconstruction technique can be applied to more convenient a wide range of engineering and technical environment。

Keywords structure light iOS 3d- reconstruction OpenCV OpenGL

1 概述 1

1。1 背景 1

1。2 研究现状 1

1。2。1 标定方法 1

1。2。2 采集性能 2

1。3 发展前景 2

1。4 本文研究的内容 3

2 硬件设计及原理 4

2。1 激光器选型 4

2。2 半自动型结构光扫描设备的设计 5

2。3 手动型结构光扫描设备的设计 7

2。4 硬件设计结果 8

2。5 硬件精度的影响因素