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Машинное зрение |
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| Results: 1 - 7 of about 7 books in category "Машинное зрение". (0.02 seconds) |
| Sunil K. Kopparapu - Bayesian Approach to Image Interpretation (The Kluwer International Series in Engineering and Compu... Sunil K. Kopparapu - Bayesian Approach to Image Interpretation (The Kluwer International Series in Engineering and Computer Science, Volume 616) |
| Handbook of Face Recognition Handbook of Face Recognition |
| Handbook of Mathematical Models in Computer Vision - [From other libraries - 2] Handbook of Mathematical Models in Computer Vision |
| Gerard Medioni - Emerging Topics in Computer Vision From the Back Cover The state-of-the art in computer vision: theory, applications, and programming Whether you're a working engineer, developer, researcher, or student, this is your single authoritative source for today's key computer vision innovations. Gerard Medioni and Sing Bing Kang present advances in computer vision such as camera calibration, multi-view geometry, and face detection, and introduce important new topics such as vision for... |
| Peihua Qiu - Image Processing and Jump Regression Analysis (Wiley Series in Probability and Statistics) Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic breakdown of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include conv... |
| Shehrzad Qureshi - Embedded Image Processing on the TMS320C6000 DSP: Examples in Code Composer Studio and MATLAB Embedded Image Processing on the TMS320C6000T DSP: Examples in Code Composer StudioT and MATLAB focuses on efficient implementations of advanced image processing algorithms for resource-constrained embedded DSP systems. Featuring the popular Texas Instruments TMS320C6000TM line of Digital Signal Processors, it utilizes a proven methodology of beginning with a high-level algorithmic point-of-view, proceeding to develop prototype code in MATLAB ... |
| Yali Amit - 2D Object Detection and Recognition: Models, Algorithms, and Networks Two important subproblems of computer vision are the detection and recognition of 2D objects in gray-level images. This book discusses the construction and training of models, computational approaches to efficient implementation, and parallel implementations in biologically plausible neural network architectures. The approach is based on statistical modeling and estimation, with an emphasis on simplicity, transparency, and computational effici... |
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