Robotics, vision and control 一书中用到的matlab 工具包 2016b和2017a可以用，想要其他版本的请自己去下载，网速比较慢http://petercorke.com/wordpress/toolboxes/machine-vision-toolbox

Computer and Machine Vision

这是图像处理领域很经典的一本教材，我目前能找到的最清晰的原版了。

在vs2013版本以上，利用opencv实现对运动目标的检测，能够将AVI、MP4、RMVB等文件中的移动的目标圈出来并动态更新，适用于新手学习机器视觉。

《Image Processing, Analysis, and Machine Vision, 4th》是一本在机器视觉领域非常经典的教材，在Google Scholar中显示这本教材被引用过7K+次。 这个资源是英文版的，带有目录。

With the ongoing release of 3D movies and the emergence of 3D TVs, 3D imaging technologies have penetrated our daily lives. Yet choosing from the numerous 3D vision methods available can be frustrating for scientists and engineers, especially without a comprehensive resource to consult. Filling this gap, Handbook of 3D Machine Vision: Optical Metrology and Imaging gives an extensive, in-depth look at the most popular 3D imaging techniques. It focuses on noninvasive, noncontact optical methods (optical metrology and imaging). The handbook begins with the well-studied method of stereo vision and explains how random speckle patterns or space-time varying patterns substantially improve the results of stereo vision. It then discusses stereo particle image velocimetry as a major experimental means in fluid dynamics, the robust and easy-to-implement structured-light technique for computer science applications, digital holography for performing micro- to nanoscale measurements, and grating, interferometry, and fringe projection techniques for precisely measuring dynamically deformable natural objects. The book goes on to describe techniques that do not require triangulation to recover a 3D shape, including time-of-flight techniques and uniaxial 3D shape measurement, as well as 3D measurement techniques that are not restricted to surface capture, such as 3D ultrasound, optical coherence tomography, and 3D endoscopy. The book also explores how novel 3D imaging techniques are being applied in the promising field of biometrics―which may prove essential to security and public safety. Written by key players in the field and inventors of important imaging technologies, this authoritative, state-of-the-art handbook helps you understand the core of 3D imaging technology and choose the proper 3D imaging technique for your needs. For each technique, the book provides its mathematical foundations, summarizes its successful applications, and discusses its limitations.

1.1 Preface 1 1.2 Design and Structure of the Eye 1 1.3 Optical Aberrations and Consequences for Visual Performance 5 1.4 Chromatic Aberration 9 1.5 Neural Adaptation to Monochromatic Aberrations 12 1.6 Optimizing Retinal Processing with Limited Cell Numbers, Space and Energy 13 1.7 Adaptation to Different Light Levels 13 1.8 Rod and Cone Responses 15 1.9 Spiking and Coding 18 1.10 Temporal and Spatial Performance 19 1.11 ON/OFF Structure, Division of the Whole Illuminance Amplitude in Two Segments 20 1.12 Consequences of the Rod and Cone Diversity on Retinal Wiring 21 1.13 Motion Sensitivity in the Retina 21 1.14 Visual Information Processing in Higher Centers 23 1.14.1 Morphology 23 1.14.2 Functional Aspects – Receptive Field Structures and Cortical Modules 24 1.15 Effects of Attention 26 1.16 Color Vision, Color Constancy, and Color Contrast 27 1.17 Depth Perception 28 1.18 Adaptation in the Visual System to Color, Spatial, and Temporal Contrast 29 1.19 Conclusions 30 References 32

Image Processing, Analysis and Machine Vision 中文版 第二版.

机器视觉 图像处理 机器视觉算法与应用原版教材PPT讲解