3D計算機視覺：原理、算法及套用

《3D計算機視覺：原理、算法及套用》是2021年電子工業出版社出版的圖書，作者是章毓晉。

基本介紹

• 中文名：3D計算機視覺：原理、算法及套用
• 作者：章毓晉
• 出版時間：2021年
• 出版社：電子工業出版社
• 頁數：408 頁
• ISBN：9787121419508
• 類別： 計算機/網路類圖書
• 定價：149 元 
• 開本：16 開
• 裝幀：平裝-膠訂

內容簡介

本書主要內容圍繞3D 計算機視覺展開，介紹了相關的基礎概念、基本原理、典型算法、實用技術和套用成果。本書可在學過其姊妹篇《2D 計算機視覺：原理、算法及套用》後學習。 本書將從客觀場景出發到後對場景進行理解的全過程分為5 個部分進行介紹。第1 部分是圖像採集，介紹了攝像機標定和3D 圖像採集技術；第2 部分是視頻運動，介紹了視頻圖像和運動信息，以及對運動目標進行檢測和跟蹤的技術；第3 部分是物體重建，介紹了雙目立體視覺和單目圖像恢復技術；第4 部分是物體分析，介紹了3D 目標表達和廣義匹配；第5 部分是高層理解，介紹了知識和場景解釋及時空行為理解。本書除提供大量示例外，還針對每章的內容提供了自我檢測題（含提示並附有答案），並且給出了相關的參考文獻和術語索引（包括英文）。

作者簡介

章毓晉，於1989年獲比利時列日大學套用科學博士學位。1989—1993年，先後在荷蘭德爾夫特大學從事博士後研究工作並擔任專職研究員。於1993年到清華大學任教，1997年被聘為教授，1998年被聘為博士生導師，2014年成為教學科研系列長聘教授。在2003年學術休假期間，同時被聘為新加坡南洋理工大學訪問教授。在清華大學，先後開出並講授10多門本科生和研究生課程。在南洋理工大學，開出並講授研究生課程“現代圖像分析（英語）”。已編寫出版了圖像工程系列教材第1版、第2版、第3版和第4版，《圖像工程問題解析》、《圖像處理和分析基礎》、《圖像處理和分析技術》（第2版和第3版）、《圖像處理和分析教程》（第1版、第2版和第3版）、《計算機視覺教程》（第1版、第2版和第3版）和《圖像處理基礎教程》，以及Image Engineering: Processing, Analysis, and Understanding，Image Engineering, Vol.1, Image Processing，Image Engineering, Vol.2, Image Analysis，Image Engineering, Vol.3, Image Understanding，翻譯出版了《彩色數字圖像處理》、《圖像處理基礎》（第2版）、《MATLAB圖像和視頻處理》、《計算機視覺基礎》和《彩色計算機視覺》，研製出版了《“圖像處理和分析’’多媒體計算機輔助教學課件》和《圖像處理和分析網路課程》。已在國內外發表了30多篇教學研究論文。主要科學研究領域為所提出的圖像工程（圖像處理、圖像分析、圖像理解及其技術套用）。自1996年起，已連續26年對中國圖像工程的研究及主要文獻進行了系統的年度分類和總結綜述。已在國內外發表了500多篇圖像工程研究論文，出版了專著《圖象分割》《基於內容的視覺信息檢索》《基於子空間的人臉識別》，編著了《英漢圖像工程辭典》（第1版、第2版和第3版）、《圖像工程技術選編》和《圖像工程技術選編（二）》，主持編著了Advances in Image and Video Segmentation，Semantic-Based Visual Information Retrieval，Advances in Face Image Analysis: Techniques and Technologies，出版了Handbook of Image Engineering和A Selection of Image Processing Techniques.曾任第24屆國際圖像處理學術會議（ICIP‘2017）等20多個國內外學術會議的程式委員會主席。現為中國圖象圖形學學會名譽監事長和會士、國際電氣電子工程師協會（IEEE）高級會員、國際光學工程協會（SPIE）會士（因在圖像工程方面的成就）。

圖書目錄

第1 章計算機視覺概述·····································································.1

1.1 人類視覺及特性····································································.1

1.1.1 視覺特點····································································.2

1.1.2 視覺的亮度特性···························································.3

1.1.3 視覺的空間特性···························································.5

1.1.4 視覺的時間特性···························································.6

1.1.5 視知覺·······································································.8

1.2 計算機視覺理論和框架··························································.10

1.2.1 計算機視覺的研究目的、任務和方法·······························.11

1.2.2 視覺計算理論·····························································.11

1.2.3 框架問題和改進··························································.16

1.3 3D 視覺系統和圖像技術·························································.18

1.3.1 3D 視覺系統流程·························································.18

1.3.2 計算機視覺和圖像技術層次···········································.19

1.3.3 圖像技術類別·····························································.20

1.4 本書結構框架和內容概況·······················································.21

1.4.1 結構框架和主要內容····················································.22

1.4.2 各章概況···································································.22

1.5 各節要點和進一步參考··························································.23

第2 章攝像機標定···········································································25

2.1 線性攝像機模型···································································.25

2.1.1 完整成像模型·····························································.26

2.1.2 基本標定程式·····························································.27

2.1.3 內、外參數································································.28

2.2 非線性攝像機模型································································.30

2.2.1 畸變類型···································································.31

2.2.2 標定步驟···································································.33

2.2.3 標定方法分類·····························································.34

2.3 傳統標定方法······································································.35

2.3.1 基本步驟和參數··························································.36

2.3.2 兩級標定法································································.36

2.3.3 精度提升···································································.40

2.4 自標定方法·········································································.41

2.5 各節要點和進一步參考··························································.44

第3 章 3D 圖像採集··········································································45

3.1 高維圖像············································································.45

3.2 深度圖···············································································.46

3.2.1 深度圖和灰度圖像·······················································.47

3.2.2 本徵圖像和非本徵圖像·················································.47

3.2.3 深度成像方式·····························································.49

3.3 直接深度成像······································································.50

3.3.1 飛行時間法································································.50

3.3.2 結構光法···································································.53

3.3.3 莫爾等高條紋法··························································.55

3.3.4 同時採集深度和亮度圖像··············································.58

3.4 立體視覺成像······································································.59

3.4.1 雙目橫向模式·····························································.59

3.4.2 雙目會聚橫向模式·······················································.63

3.4.3 雙目軸向模式·····························································.65

3.5 各節要點和進一步參考··························································.67

第4 章視頻圖像和運動信息·······························································69

4.1 視頻基礎············································································.70

4.1.1 視頻表達和模型··························································