3D计算机视觉:原理、算法及应用 章毓晋 电子工业出版社 9787121419508 正版旧书
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作者章毓晋
出版社电子工业出版社
ISBN9787121419508
出版时间2021-09
装帧线装
页数408页
货号F
上书时间2024-09-18
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名称：3D计算机视觉:原理、算法及应用 章毓晋 电子工业出版社 9787121419508 正版旧书
作者：章毓晋
品相：九品
出版时间：2021-09
装订：线装
ISBN：9787121419508
出版社：电子工业出版社
页数：408页
商品描述：
温馨提示：亲！旧书库存变动比较快，有时难免会有断货的情况，为保证您的利益，拍前请务必联系卖家咨询库存情况！谢谢！书名：3D计算机视觉:原理、算法及应用编号：4653574ISBN：9787121419508[十位:]作者：章毓晋出版社：电子工业出版社出版日期：2021年09月页数：408定价：149.00 元参考重量：0.400Kg-------------------------新旧程度：6-9成新左右，不影响阅读，详细情况请咨询店主如图书附带、磁带、学习卡等请咨询店主是否齐全* 图书目录 *第1 章计算机视觉概述·····································································.1 1.1 人类视觉及特性····································································.1 1.1.1 视觉特点····································································.2 1.1.2 视觉的亮度特性···························································.3 1.1.3 视觉的空间特性···························································.5 1.1.4 视觉的时间特性···························································.6 1.1.5 视知觉·······································································.8 1.2 计算机视觉理论和框架··························································.10 1.2.1 计算机视觉的研究目的、任务和方法·······························.11 1.2.2 视觉计算理论·····························································.11 1.2.3 框架问题和改进··························································.16 1.3 3D 视觉系统和图像技术·························································.18 1.3.1 3D 视觉系统流程·························································.18 1.3.2 计算机视觉和图像技术层次···········································.19 1.3.3 图像技术类别·····························································.20 1.4 本书结构框架和内容概况·······················································.21 1.4.1 结构框架和主要内容····················································.22 1.4.2 各章概况···································································.22 1.5 各节要点和进一步参考··························································.23 第2 章摄像机标定···········································································25 2.1 线性摄像机模型···································································.25 2.1.1 完整成像模型·····························································.26 2.1.2 基本标定程序·····························································.27 2.1.3 内、外参数································································.28 2.2 非线性摄像机模型································································.30 2.2.1 畸变类型···································································.31 2.2.2 标定步骤···································································.33 2.2.3 标定方法分类·····························································.34 2.3 传统标定方法······································································.35 2.3.1 基本步骤和参数··························································.36 2.3.2 两级标定法································································.36 2.3.3 精度提升···································································.40 2.4 自标定方法·········································································.41 2.5 各节要点和进一步参考··························································.44 第3 章 3D 图像采集··········································································45 3.1 高维图像············································································.45 3.2 深度图···············································································.46 3.2.1 深度图和灰度图像·······················································.47 3.2.2 本征图像和非本征图像·················································.47 3.2.3 深度成像方式·····························································.49 3.3 直接深度成像······································································.50 3.3.1 飞行时间法································································.50 3.3.2 结构光法···································································.53 3.3.3 莫尔等高条纹法··························································.55 3.3.4 同时采集深度和亮度图像··············································.58 3.4 立体视觉成像······································································.59 3.4.1 双目横向模式·····························································.59 3.4.2 双目会聚横向模式·······················································.63 3.4.3 双目轴向模式·····························································.65 3.5 各节要点和进一步参考··························································.67 第4 章视频图像和运动信息·······························································69 4.1 视频基础············································································.70 4.1.1 视频表达和模型··························································
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