Computer.Vision:Algorithms_and_Applications_2nd(Richard.Szeliski)

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key FeaturesTrain different kinds of deep learning model from scratch to solve specific problems in Computer VisionCombine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and moreIncludes tips on optimizing and improving the performance of your models under various constraintsBook Description Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation. What you will learnSet up an environment for deep learning with Python, TensorFlow, and KerasDefine and train a model for image and video classificationUse features from a pre-trained Convolutional Neural Network model for image retrievalUnderstand and implement object detection using the real-world Pedestrian Detection scenarioLearn about various problems in image captioning and how to overcome them by training images and text togetherImplement similarity matching and train a model for face recognitionUnderstand the concept of generative models and use them for image generationDeploy your deep learning models and optimize them for high performanceWho This Book Is For This book is targeted

计算机视觉算法与应用英文版，原版，带标签，Computer Vision Algorithms and Applications，Richard Szeliski著，This electronic draft is for non-commercial personal use only, and may not be posted or re-distributed in any form.

介绍3D深度相机的几本书籍，包含TOF原理和结构光原理的介绍，以及相关算法的简单介绍，适合计算机视觉、机器人和工业自动化检测领域的专业技术人员阅读

Computer Vision: Algorithms and Applications Richard+Szeliski.pdf计算机视觉算法与应用 该书是英文原版的书籍，详细介绍了图像处理相关的算法，以及现在比较流行的三维点云重建及匹配算法，生动形象具体，适合有经验的视觉算法工程师细读，回来我会将翻译文章进行上传，请继续关注

stereo vision matlab file

这个是英文原版，2011的，是最经典的，和网上的两页一起pdf不一样！ Computer Vision: Algorithms and Applications 2011 你值得拥有

Appropriate for upper-division undergraduate and graduate level courses in computer vision found in departments of computer science, computer engineering and electrical engineering, this book offers a treatment of modern computer vision methods.

Computer Vision：A Modern Approach 压缩包内含该书中英双译本

关于深度学习使用在计算机视觉上的很好的入门书，提供全部python代码，非常方便初学者学习下载