提升相机系统效能:OpenCV 3 实战指南

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"OpenCV 3 Blueprints 是一本关于计算机视觉库OpenCV 3的实践指南,涵盖了如何利用OpenCV优化相机系统、自动化拍摄自然与野生动物等内容。" 在这本PDF版本的《OpenCV 3 Blueprints》中,作者旨在帮助读者深入理解OpenCV 3的强大功能,并提供实际操作的蓝图来提升相机系统的性能。书中的内容包括: 1. 获取相机系统的最大效能:这部分介绍了如何调整光线、捕捉瞬间以及改进不同类型的摄像头,如PlayStation Eye、ASUS Xtion PRO Live和其他OpenNI兼容的深度摄像头,还有Point Grey Research的GS3-U3-23S6M-C等专业摄像头。通过这些方法,读者可以学习如何增强摄像头的性能,使其在各种场景下都能发挥最佳效果。 2. 自动化相机拍摄自然与野生动物:此章节涉及如何规划相机陷阱,利用gPhoto2控制数码相机,以及编写脚本进行无损驱动器卸载、曝光包围拍摄等。通过编写Python脚本封装gPhoto2,读者可以实现对相机的远程控制,用于自动拍摄自然和野生动物,确保在不干扰动物的情况下捕捉到高质量的照片。 本书适合对计算机视觉和OpenCV有一定了解的读者,无论是研究人员还是开发者,都能从中获得实用的技术指导。书中遵循了一套统一的约定,方便读者理解和跟随操作。同时,作者鼓励读者提供反馈,以持续改进内容的准确性和实用性。 读者可以访问Packt Publishing的网站获取支持文件、电子书、折扣优惠等。此外,已注册Packt账户的用户可以免费访问部分内容。如果发现任何错误,可以通过errata提交更正。作者和出版商强烈反对盗版行为,并呼吁读者尊重知识产权。对于书中提出的问题或疑问,读者可以通过指定渠道获取解答。 《OpenCV 3 Blueprints》是一本详实的实践指南,旨在帮助读者充分利用OpenCV 3开发高级计算机视觉应用,无论是在摄像头硬件优化还是自动化摄影方面,都能提供宝贵的参考和指导。
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