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Jingdong book

基于结构光的计算机视觉

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Jingdong book

基于结构光的计算机视觉

Name: 基于结构光的计算机视觉
Brand: Jingdong book
SKU: 3118001891
Price: 41.47 USD
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Content Description

计算机视觉研究的主要目的是让计算机能够利用图像和图像序列来识别和认知三维世界，其最终目标是让计算机具有“视觉”功能，以满足社会对计算机高级应用的需求。《基于结构光的计算机视觉》根据研究内容把计算机视觉划分为计算理论、表达与算法和系统实现三个层次，系统地阐述了计算机视觉各个方面的相关理论和应用技术基础，包括计算机视觉的基本原理、分类、最新的国内外研究进展，重点介绍了基于结构光的三维重建与测量的方法，如摄像机和投影机的标定技术、结构光的编解码技术、点云的计算与拼接技术，最后介绍了基于结构光的三维重建与测量技术的应用实例。
《基于结构光的计算机视觉》适合作为从事计算机视觉领域科研工作者的一本基础技术参考书和最新研究成果参考文献，也可作为高等院校计算机及相关专业的高年级本科生和研究生课程教材或参考书。

Catalogue

第1章绪论
1.1 人类视觉系统的构成与视觉机理
1.1.1 人眼的结构
1.1.2 视觉系统
1.1.3 颜色
1.1.4 视知觉对深度的感知
1.1.5 CCD摄像机
1.2 计算机视觉的基本原理及系统构成
1.3 计算机视觉研究的特点与分类
1.3.1 计算机视觉研究的特点
1.3.2 计算机视觉的分类
1.4 计算机视觉与相关领域的关系
1.5 计算机视觉的研究现状
参考文献

第2章基于结构光的计算机视觉
2.1 基于结构光的计算机视觉的基本原理
2.2 基于结构光的计算机视觉中的关键技术
2.2.1 系统参数的标定技术
2.2.2 结构光的编解码技术
2.2.3 点云计算与拼接技术
2.3 基于结构光的计算机视觉技术的特点和分类
2.3.1 基于结构光的计算机视觉技术的特点
2.3.2 基于结构光的计算机视觉技术的分类
2.4 基于结构光的计算机视觉技术的研究进展
2.5 基于结构光的计算机视觉技术的应用领域
参考文献

第3章摄像机和投影机的标定
3.1 空间几何变换
3.1.1 三维比例变换（基点为原点）
3.1.2 三维旋转变换
3.1.3 三维平移变换
3.2 摄像机的几何模型
3.2.1 常用坐标系
3.2.2 针孔照相机
3.2.3 透视投影矩阵的获得
3.2.4 摄像机参数的获取
3.2.5 径向畸变的校正
3.3 标定技术的研究现状
3.4 典型摄像机标定方法
3.4.1 基于平面靶标的摄像机标定
3.4.2 基于3D立体靶标的摄像机标定
3.4.3 基于径向约束的摄像机标定
3.4.4 摄像机自标定技术
3.5 典型投影机标定方法
3.5.1 基于相位技术的标定方法
3.5.2 基于反向成像的标定方法
3.5.3 基于交比不变性标定方法
参考文献

第4章结构光编码策略与方法
4.1 结构光编码策略
4.2 结构光编码技术的研究现状
4.3 典型的结构光编码方法
4.3.1 RGB颜色格雷码结构光编码方法
4.3.2 M阵列编码方法
4.3.3 时间空间混合结构光编码方法
4.3.4 四位二进制彩色编码方法
参考文献

第5章结构光解码技术
5.1 结构光解码技术基本原理
5.1.1 图像噪声的介绍与分析
5.1.2 常用的滤波算法
5.1.3 图像阈值分割
5.1.4 图像边缘检测
5.2 结构光解码技术的研究现状
5.3 典型的结构光解码方法
5.3.1 RGB颜色格雷码图像的解码方法
5.3.2 M阵列编码图像的解码方法
5.3.3 时间空间混合结构光编码图像的解码方法
5.3.4 四位二进制彩色编码图像的解码方法
参考文献

第6章点云的计算与拼接技术
6.1 三维点云计算方法
6.2 特征标志点的处理
6.2.1 图像标志点的跟踪与识别
6.2.2 图像标志点点心的提取
6.3 三维特征标志点空间搜索与识别
6.3.1 特征点提取与识别算法研究
6.3.2 空间特征点动态分层
6.3.3 特征点搜索与识别
6.4 点云拼接的国内外研究现状
6.4.1 基于标志点的点云拼接发展现状
6.4.2 基于稳健几何特征的点云拼接发展现状
6.5 典型的点云拼接算法
6.5.1 多视标签定位拼接算法
6.5.2 三点组合坐标变换法
6.5.3 最小二乘法介绍
6.5.4 基于三点矩阵奇异值分解的最小二乘法
6.5.5 基于多点的最小二乘法
6.6 新的点云拼接算法
6.6.1 基于公共标志点的三维点云拼接算法
6.6.2 基于标志点的三维点云自动拼接算法
6.6.3 基于动态分层的最近点迭代拼接算法研究
参考文献

第7章格雷码结构光的三维重建实例
7.1 概述
7.2 系统构成
7.3 摄像机和投影机的标定
7.4 格雷编码结构光编码方法
7.5 格雷编码结构光编码图像的解码方法
7.5.1 图像比例放大
7.5.2 图像灰度化
7.5.3 图像二值化
7.5.4 图像条纹边界提取
7.5.5 实验结果分析
7.6 点云的计算
参考文献

第8章基于彩色结构光的三维模型生成方法
8.1 概述
8.2 系统参数的标定
8.3 基于7元3级迪布鲁英序列的编码方法
8.4 新的De Bruijn彩色结构光解码方法
8.4.1 编码图像的预处理
8.4.2 彩色结构光的颜色聚类化方法
8.4.3 将De Bruijn彩色结构光图像转化为赋权有向图模型及其简化方法
8.4.4 编码特征点的双梯度动态规划匹配方法
8.5 系统的性能分析
参考文献

第9章基于彩色结构光曲面投影方法
9.1 概述
9.2 摄像机和投影机联合标定方法
9.3 具有拓扑结构和内部结构相关性的彩色结构光编码方法
9.4 基于波形分析的解码方法
9.5 结合观察视口的畸变投影图像几何校正方法

参考文献

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