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lgli/A\Amit Y\2d Object Detection And Recognition Djvu.DJVU
2D Object Detection and Recognition : Models, Algorithms, and Networks 🔍
Yali Amit The MIT Press, illustrated edition, 2002
英语 [en] · 西班牙语 [es] · DJVU · 3.8MB · 2002 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
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 efficiency.The book describes a range of deformable template models, from coarse sparse models involving discrete, fast computations to more finely detailed models based on continuum formulations, involving intensive optimization. Each model is defined in terms of a subset of points on a reference grid (the template), a set of admissible instantiations of these points (deformations), and a statistical model for the data given a particular instantiation of the object present in the image. A recurring theme is a coarse to fine approach to the solution of vision problems. The book provides detailed descriptions of the algorithms used as well as the code, and the software and data sets are available on the Web.Yali Amit is Professor of Statistics and Computer Science at the University of Chicago.
备用文件名
lgli/Cs_Computer science/CsIp_Image processing/Amit Y. 2D object detection and recognition (MIT, 2002)(ISBN 0262011948)(T)(325s).djvu
备用文件名
lgrsfic/A\Amit Y\2d Object Detection And Recognition Djvu.DJVU
备用文件名
lgrsnf/Cs_Computer science/CsIp_Image processing/Amit Y. 2D object detection and recognition (MIT, 2002)(ISBN 0262011948)(T)(325s).djvu
备用文件名
nexusstc/2D Object Detection and Recognition: Models, Algorithms, and Networks/071fbfefa257c944080f559f9932c505.djvu
备用文件名
zlib/Computers/Computer Science/Yali Amit/2D object detection and recognition: models, algorithms, and networks_437634.djvu
备选作者
Amit, Yali
备用出版商
Ebsco Publishing
备用出版商
AAAI Press
备用版本
United States, United States of America
备用版本
Cambridge, Mass, Massachusetts, 2002
备用版本
MIT Press, Cambridge, Mass, 2002
备用版本
Cambridge, MA, cop. 2002
备用版本
New Edition, 2002
备用版本
November 1, 2002
元数据中的注释
Kolxo3 -- 7
元数据中的注释
lg_fict_id_137962
元数据中的注释
lg1284
元数据中的注释
{"isbns":["0262011948","0262267098","058544630X","9780262011945","9780262267090","9780585446301"],"last_page":325,"publisher":"The MIT Press"}
元数据中的注释
Includes bibliographical references (p. [287]-297) and index.
Description based on print version record.
备用描述
A guide to the computer detection and recognition of 2D objects in gray-level images. 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 efficiency. The book describes a range of deformable template models, from coarse sparse models involving discrete, fast computations to more finely detailed models based on continuum formulations, involving intensive optimization. Each model is defined in terms of a subset of points on a reference grid (the template), a set of admissible instantiations of these points (deformations), and a statistical model for the data given a particular instantiation of the object present in the image. A recurring theme is a coarse to fine approach to the solution of vision problems. The book provides detailed descriptions of the algorithms used as well as the code, and the software and data sets are available on the Web.
备用描述
<p><p>a Guide To The Computer Detection And Recognition Of 2d Objects In Gray-level Images.</p>
开源日期
2009-07-20
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