OpenCV 3实战指南:深度相机与自动化摄影

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《OpenCV 3 Blueprints》是一本深入介绍OpenCV 3开发技术的实用指南,专为对计算机视觉和图像处理感兴趣的读者设计。本书不仅涵盖了OpenCV 3的核心概念,还提供了丰富的实践案例,帮助读者利用OpenCV的强大功能来优化各种摄像头系统的性能。 第1章“Getting the Most out of Your Camera System”着重于提升相机系统的效能。这部分内容探讨了如何通过调整光照条件、实时捕捉动态场景、以及利用特定硬件设备如PlayStation Eye、ASUS Xtion PRO Live等深度摄像头进行增强。此外,还介绍了如何选择合适的光学镜头(即“Shopping for glass”),让摄影设备发挥最大潜能。 在“Photographing Nature and Wildlife with an Automated Camera”章节中,作者指导读者如何规划自动相机陷阱,控制gPhoto2这种摄影软件来远程操控相机,以及编写脚本来实现如曝光补偿的自动调整。针对像Point Grey Research GS3-U3-23S6M-C这样的专业相机,书中提供了详细的设置和测试方法。这部分内容强调了自动化摄影在自然和野生动物拍摄中的应用,旨在提高拍摄质量和效率。 本书适合计算机视觉、机器学习工程师、程序员,以及任何想要用OpenCV 3进行图像处理和计算机视觉项目的人。它遵循清晰的编写规范,鼓励读者提供反馈,并提供下载样例代码和支持文件的链接。对于Packt用户,他们可以享受免费访问的权利。在阅读过程中,遇到问题可以参考附录中的错误修正和版权信息,确保正确使用和尊重知识共享。 《OpenCV 3 Blueprints》是一本实用且全面的教程,涵盖了从基本安装到高级应用的广泛内容,旨在帮助读者熟练掌握OpenCV 3,充分利用其在现代摄影和视觉应用中的强大功能。无论你是初学者还是经验丰富的开发者,都可以从中找到有价值的知识和技术实践。
2016-01-05 上传
Paperback: 366 pages Publisher: Packt Publishing - ebooks Account (November 13, 2015) Language: English ISBN-10: 1784399752 ISBN-13: 978-1784399757 About This Book Build computer vision projects to capture high-quality image data, detect and track objects, process the actions of humans or animals, and much more Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3 Familiarize yourself with multiple approaches and theories wherever critical decisions need to be made Who This Book Is For This book is ideal for you if you aspire to build computer vision systems that are smarter, faster, and more practical than the competition. This is an advanced book, intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. What You Will Learn Select and configure camera systems to see invisible light, fast motion, and distant objects Build a "camera trap", as used by nature photographers, and process photos to create beautiful effects Develop a facial expression recognition system with various feature extraction techniques and machine learning methods Build an Android panorama application using the OpenCV stitching module in C++, with NDK support Optimize your object detection model, make it rotation invariant, and apply scene-specific constraints to make it faster and more robust Create a person identification and registration system based on the biometric properties of that person, such as their fingerprint, iris, and face Fuse data from videos and gyroscopes to stabilize videos shot from your mobile phone and create hyperlapse videos In Detail This book makes use of OpenCV 3 to tackle increasingly challenging computer vision problems. You begin by taking a critical look at inputs, in order to decide which types of light, lenses, and image formats are best suited for a given purpose. You then consider the finer aspects of computational photography as you build an automated camera to assist nature photographers. You will gain