《計算機視覺 Computer Vision》是2011年出版的圖書，ISBN是978-7-312-02750-5。
基本介紹
- 書名：計算機視覺 Computer Vision
- 又名：叢書名稱：當代科學技術基礎理論與前沿問題研究叢書：中國科學技術大學校友文庫
- ISBN：978-7-312-02750-5
- 定價：88.00元
- 出版時間：201101
- 裝幀：軟精裝
- 版本:：1
內容簡介,圖書簡介,目錄,
內容簡介
本書是由一些綜述性或原始研究論文組成的，涉及了計算機視覺的各個領域。包括圖像分割和標註、人臉和生物特徵識別、圖像配準、基於視頻內容的分析和三維重建。每篇論文的作者至少有一位是中國科學技術大學信息學院的畢業生。
本書可供計算機專業高年級本科生、研究生以及相關領域的科研人員使用。
圖書簡介
Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and practice for building artificial intelligence systems that extract information from visual data. The visual data can take many forms, such as a single image, a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner.
Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. Computer vision,on the other hand, studies and describes artificial vision systems that are implemented in software and/or hardware. Interdisciplinary exchange between biological and computer vision has proven increasingly fruitful for both fields.
USTC alumni have been an active and noteworthy part of the recent developments in computer vision. The objectives of this book are two-fold:(1) to provide a cross-section sampling of the diverse topics in modern computer vision, and (2) to present a cross-generation sampling of the USTC alumni working in computer vision.
There is a bigger context for this book on Computer Vision, as a part of a book series in electrical electronic engineering and computer science for promoting the national and international reputations of USTC, reporting the cutting-edge and topical research results from alumnus of USTC, and invoking a sense of belongings and excitement among the members of the greater USTC community in commemoration of its 50-th anniversary.
We received an overwhelming response when we contacted the USTC vision researchers. In the end, a total of sixteen high quality chapters from USTC alumnus were accepted to form this book. As a result, we are extremely pleased that the accepted chapters covered a wide range of topics in computer vision in terms of theories and related applications, including segmentation and registration, face and biometrics, image annotation, video analysis, as well as 3D reconstruction. A high-level overview of the chapters is included to help readers make the most of this book.
Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. Computer vision,on the other hand, studies and describes artificial vision systems that are implemented in software and/or hardware. Interdisciplinary exchange between biological and computer vision has proven increasingly fruitful for both fields.
USTC alumni have been an active and noteworthy part of the recent developments in computer vision. The objectives of this book are two-fold:(1) to provide a cross-section sampling of the diverse topics in modern computer vision, and (2) to present a cross-generation sampling of the USTC alumni working in computer vision.
There is a bigger context for this book on Computer Vision, as a part of a book series in electrical electronic engineering and computer science for promoting the national and international reputations of USTC, reporting the cutting-edge and topical research results from alumnus of USTC, and invoking a sense of belongings and excitement among the members of the greater USTC community in commemoration of its 50-th anniversary.
We received an overwhelming response when we contacted the USTC vision researchers. In the end, a total of sixteen high quality chapters from USTC alumnus were accepted to form this book. As a result, we are extremely pleased that the accepted chapters covered a wide range of topics in computer vision in terms of theories and related applications, including segmentation and registration, face and biometrics, image annotation, video analysis, as well as 3D reconstruction. A high-level overview of the chapters is included to help readers make the most of this book.
目錄
Preface
Part 1 Segmentation and Registration
Part 2 Face and Biometrics
Part3 Image Annotation
Part4 Video Analysis
Part5 3D Reconstruction
