Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art? "Computer Vision: Algorithms an...(展开全部)

A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches a...(展开全部)

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and appli...(展开全部)

For upper level courses in Computer Vision and Image Analysis. Provides necessary theory and examples for students and practitioners who will work in fields where significant information must be extracted automatically from images. Appropriate for those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional...(展开全部)

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational geometry are related to particular ap...(展开全部)

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays...(展开全部)

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences abou...(展开全部)

This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.

Alfred V．Aho 博士是哥伦比亚大学计算机科学系主管本科生教学的副主任，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，曾获得IEEE的冯·诺伊曼奖。他是《编译原理》(Compiler：Principles，Techniques，andTools)的第一作者。 他目前的研究方向为量子计算、程式设计语言．编译器和算法等。 John E．Hppcroft 博士是康奈尔大学工程学院院长兼计算机科学系教授，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，1986年因其在数据结构、算法设计与分析等领域的重要贡献而获得图灵奖。他还是《自动机理论，语言和计算导论》(Introduction to Antomata Theory，Languages，and Computation)的第一作者。他目前的研究方向是信息存取。 Jefi...(展开全部)

Alfred V．Aho 博士是哥伦比亚大学计算机科学系主管本科生教学的副主任，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，曾获得IEEE的冯·诺伊曼奖。他是《编译原理》(Compiler：Principles，Techniques，andTools)的第一作者。 他目前的研究方向为量子计算、程式设计语言．编译器和算法等。 John E．Hppcroft 博士是康奈尔大学工程学院院长兼计算机科学系教授，IEEE Fellow，美国科学与艺术学院及国家工程学院院士，1986年因其在数据结构、算法设计与分析等领域的重要贡献而获得图灵奖。他还是《自动机理论，语言和计算导论》(Introduction to Antomata Theory，Languages，and Computation)的第一作者。他目前的研究方向是信息存取。 Jefi...(展开全部)