Dr. Gary Rost Bradski is a consulting professor in the CS department at Stanford University AI Lab where he mentors robotics, machine learning and computer vision research. He is also Senior Scientist at Willow Garage http://www.willowgarage.com, a recently founded robotics research institute/incubator. He has a BS degree in EECS from U.C. Berkeley and a PhD from Boston University. He has 20 years of industrial experience applying machine learning and computer vision spanning option trading operations at First Union National Bank, to computer vision at Intel Research to machine learning in Intel Manufacturing and several startup companies in between. Gary started the Open Source Computer Vision Library (OpenCV http://sourceforge.net/projects/opencvlibrary/ ), the statistical Machine Learning Library (MLL comes with OpenCV), and the Probabilistic Network Library (PNL). OpenCV is used around the world in research, government and commercially. The vision libraries helped develop a notable part of the commercial Intel performance primitives library (IPP http://tinyurl.com/36ua5s). Gary also organized the vision team for Stanley, the Stanford robot that won the DARPA Grand Challenge autonomous race across the desert for a $2M team prize and helped found the Stanford AI Robotics project at Stanford http://www.cs.stanford.edu/group/stair/ working with Professor Andrew Ng. Gary has over 50 publications and 13 issued patents with 18 pending. He lives in Palo Alto with his wife and 3 daughters and bikes road or mountains as much as he can.
Dr. Adrian Kaehler is a senior scientist at Applied Minds Corporation. His current research includes topics in machine learning, statistical modeling, computer vision and robotics. Adrian received his Ph.D. in Theoretical Physics from Columbia university in 1998. Adrian has since held positions at Intel Corporation and the Stanford University AI Lab, and was a member of the winning Stanley race team in the DARPA Grand Challenge. He has a variety of published papers and patents in physics, electrical engineering, computer science, and robotics.
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. The second edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface. Computer vision is everywhere - in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter. This book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms
發表於2024-09-13
Learning OpenCV 2024 pdf epub mobi 電子書 下載
Description Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can...
評分這本《學習OpenCV》是O’Reilly齣品於2008年,鏇即由劉瑞禎和於仕琪在國內翻譯齣版。 相比國人介紹函數使用方法的書,《學習OpenCV》的著眼點則更多的迴到圖形圖像,配閤專業基礎的脈絡來介紹OpenCV。 作為基礎教程,那類似於Hello World是一定要的,而一本書的好壞,從Hello...
評分作者從與Sebastian Thrun研發Stanley以及與Andrew Ng研究Stair開始。 這本書的內容有點過時,不過對於瞭解opencv的起源和基本架構還是很有幫助的。 IPP庫的應用,說明起初的opencv更加偏嚮底層 在所有資料裏,這本書對於圖像處理基本算法的分析解釋應該是最簡明最清楚的 p273 ...
評分這本《學習OpenCV》是O’Reilly齣品於2008年,鏇即由劉瑞禎和於仕琪在國內翻譯齣版。 相比國人介紹函數使用方法的書,《學習OpenCV》的著眼點則更多的迴到圖形圖像,配閤專業基礎的脈絡來介紹OpenCV。 作為基礎教程,那類似於Hello World是一定要的,而一本書的好壞,從Hello...
評分說實話 國內外目前比較好的 值得深入一讀的書籍不多,此書值得深入讀下去,不僅涉及到我所研究的圖像圖形,還有視頻類的處理。opencv裏很多代碼都是基於C的,比較好懂,而且圖像視頻從感官上來說是一個容易吸引人的領域,從學術角度講,有理論有理論,有實踐有實踐,是標準的工...
圖書標籤: OpenCV 計算機視覺 圖像處理 編程 計算機科學 計算機 研究 學習
嗬嗬,齣新版瞭呀
評分嗬嗬,齣新版瞭呀
評分有opencv自帶說明的就看說吧
評分有opencv自帶說明的就看說吧
評分嗬嗬,齣新版瞭呀
Learning OpenCV 2024 pdf epub mobi 電子書 下載