没有合适的资源?快使用搜索试试~ 我知道了~
首页高速高精度的三维结构光成像技术综述
三维结构光学习资料是一篇深入探讨非接触三维表面测量技术的教程,由Jason Geng撰写并发表于IEEE Intelligent Transportation System Society。该教程关注的是基于结构光的3D表面成像技术,这是一种利用数字光源投影快速、高分辨率图案的方法。近年来,随着数字投影技术和成像传感器技术的快速发展,这些新技术有可能推动新一代3D测量系统的发展,使其在速度、精度、分辨率、模块化和易用性方面超越现有技术。 文章详细介绍了3D成像系统的性能指标,如空间分辨率、深度精度和帧率等,并对各种3D表面成像方法进行了分类和比较。这些方法包括时间飞行法(Time-of-Flight)、光切法(Shading/Lighting)、立体视觉(Stereo Vision)以及结构光(Structured Light),每种方法都有其独特的优点和适用场景。结构光技术因其无需物理接触,能够在保持高速度的同时提供稳定的表面信息,特别受到关注。 此外,论文还着重讨论了校准技术,因为它们对于实现所需的测量准确性和一致性至关重要。校准过程通常涉及标定相机、光源和扫描头之间的关系,确保数据的一致性和可靠性。精确的校准能够补偿由于硬件误差和环境变化带来的影响,从而提高整体系统的性能。 通过这篇教程,读者可以了解到三维结构光技术的最新进展,包括关键原理、应用案例、技术挑战以及未来发展方向。对于从事计算机视觉、机器人技术、自动驾驶或工业自动化等领域的人来说,这是一份宝贵的参考资料,帮助他们理解和提升3D表面成像技术的掌握程度。
资源详情
资源推荐
Figure 3
Classification framework of structured-light surface 3D imaging techniques.
to achieve some intended benefits. The details of these techniques are
provided in Sections 2–5.
Section 6 discusses issues related to performance evaluation of 3D
surface imaging systems. Section 7 reviews camera and projector
calibration techniques that are critical to the successful operation of any
structured-light 3D surface imaging systems. Section 8 provides a few
examples of applications.
It would be an impossible task to cover all possible 3D surface imaging
techniques in this paper. Instead, we have selected representative
techniques and present them in a tutorial fashion that will help readers
gain perspective of the entire field as well as understand fundamental
technical principles and typical system characteristics.
2. Sequential Projection Techniques
2.1. Binary Patterns and Gray Coding
The binary coding [1–4] uses black and white stripes to form a sequence
of projection patterns, such that each point on the surface of the object
Advances in Optics and Photonics 3, 128–160 (2011) doi:10.1364/AOP.3.000128 133
Figure 4
Sequential binary-coded pattern projections for 3D imaging.
possesses a unique binary code that differs from any other codes of
different points. In general, N patterns can code 2
N
stripes. Figure 4
shows a simplified 5-bit projection pattern. Once this sequence of
patterns is projected onto a static scene, there are 32 (=2
5
) unique
areas coded with unique stripes. The 3D coordinates (x, y, z) can be
computed (based on a triangulation principle) for all 32 points along each
horizontal line, thus forming a full frame of the 3D image.
Binary coding technique is very reliable and less sensitive to the surface
characteristics, since only binary values exist in all pixels. However, to
achieve high spatial resolution, a large number of sequential patterns
need to be projected. All objects in the scene have to remain static. The
entire duration of 3D image acquisition may be longer than a practical
3D application allows for.
2.2. Gray-Level Patterns
To effectively reduce the number of patterns needed to obtain a
high-resolution 3D image, gray-level patterns are developed. For
example, one can use M distinct levels of intensity (instead of only two
in the binary code) to produce unique coding of the projection patterns.
In this case, N patterns can code M
N
stripes. Each stripe code can be
visualized as a point in an N-based space, and each dimension has M
distinct values [4,5]. For example, if N = 3, and M is 4, then the total
number of unique code stripes is 64 (=4
3
). In comparison, for 64 stripes
with a binary code, 6 patterns are needed. There is an optimization in
designing the binary and gray coding patterns. The goal is to maximize
some type of distance measure among all unique code words [6]. For
practical 3D imaging applications, to be able to distinguish adjacent
Advances in Optics and Photonics 3, 128–160 (2011) doi:10.1364/AOP.3.000128 134
剩余32页未读,继续阅读
da_jun
- 粉丝: 0
- 资源: 3
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- zlib-1.2.12压缩包解析与技术要点
- 微信小程序滑动选项卡源码模版发布
- Unity虚拟人物唇同步插件Oculus Lipsync介绍
- Nginx 1.18.0版本WinSW自动安装与管理指南
- Java Swing和JDBC实现的ATM系统源码解析
- 掌握Spark Streaming与Maven集成的分布式大数据处理
- 深入学习推荐系统:教程、案例与项目实践
- Web开发者必备的取色工具软件介绍
- C语言实现李春葆数据结构实验程序
- 超市管理系统开发:asp+SQL Server 2005实战
- Redis伪集群搭建教程与实践
- 掌握网络活动细节:Wireshark v3.6.3网络嗅探工具详解
- 全面掌握美赛:建模、分析与编程实现教程
- Java图书馆系统完整项目源码及SQL文件解析
- PCtoLCD2002软件:高效图片和字符取模转换
- Java开发的体育赛事在线购票系统源码分析
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功