computer vision: models learning and inference（计算机视觉by Simon J. D. Prince） 很棒的计算机视觉基础理论教材，英文版

GigE_Vision_Specification_2.0 2013年勘误版本。内含一些关键点的中文注释。共同学习。

涵盖允许图像信息和先验知识在图像理解中进行交互的表示形式和机制。 假设一些数学和计算背景（微积分，线性代数，数据结构，数值方法）。

Robotics Vision and Control 2nd edition.pdf英文原版，原书第二版，内容丰富精彩

Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. Key Features Build a full-fledged image processing application using JuliaImages Perform basic to advanced image and video stream processing with Julia's APIs Understand and optimize various features of OpenCV with easy examples Book Description Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. What you will learn Analyze image metadata and identify critical data using JuliaImages Apply filters and improve image quality and color schemes Extract 2D features for image com

cvavr 2.050破解版，即code vision avr 2.050破解版，里面带破解文件Crack，本人正在使用……

Image Processing with LabVIEW

FREAK feature the MatLab mex实现

Labview 连接Gige Vision相机故障处理大全

computer vision经典教材，适合人群从computer vision初学者，到专业研究者都可以看的书。