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[Other resourceHandbookOfMultisensorDataFusion

Description: 《多传感器数据融合手册》 《Handbook of Multisensor Data Fusion》 作者: David L. Hall 定价: USD 199.95 出版社: CRC 出版年: 2001-06-20 简介 · · · · · ·    Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and \"smart\" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is an up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the field lead readers from a basic introduction and survey of data fusion technology to advanced mathematics and theory and to some very practical advice for systems implementers. -"multi-sensor data fusion manuals," "Handbook of Multisensor Da ta Fusion "Author : David L. Hall Price : USD 199.95 Press : CRC publication : 2001-06-20 Introduction Multisensor data fusio n is an emerging technology with important appl ications in both the military and civilian sect ors, such as target recognition, robotics, medical diagnostics. and "smart" buildings. It draws on techniques f rom wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is a n up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the f ield lead readers from a basic introduction and survey of data fusion technology to advanced ma thematics and theory and to some ve
Platform: | Size: 7569930 | Author: river_side | Hits:

[Special EffectsCubicPlateSDK

Description: 软件名称: 车牌识别模块开发包 CubicPlate SDK 试用版 最新版本: 1.2 文件大小: 2.05M 软件性质: 图像处理 使用平台: Win2K/XP 发布公司: CubicImage Software Co.,Ltd. 上海名图软件有限公司 下载网址: http://www.cubicimage.com 软件简介 CubicPlate 是当前最高速的车牌识别核心模块,识别一帧图像仅3毫秒。 由上海名图软件有限公司CubicImage Software Co.,Ltd. 专门针对中国车牌识别开发。 该软件系统采用了独有的计算机视觉和图像处理算法,车牌定位识别迅速准确。 结合模 式识别神经网络算法,具有自适应学习功能,从而能应付不同的环境、情况和光照条件。 具有可靠的识别速度和识别率。简单的用户程序接口使得用户很方便地将它嵌入用户应用 程序。 强大的库函数功能能满足用户应用系统的具体不同需求。 具有优异的性能价格比。 欢迎下载试用 http://www.cubicimage.com-software title : LPR CubicPlate Module Development Kit SDK beta version of the latest version : 1.2 Size : 2.05M nature of the software : image processing platforms : Win2K/XP company release : CubicImage Software Co.. , Ltd.. Shanghai Software Limited who download website : http :// Introduction CubicPlate www.cubicimage.com software is the most high-speed the LPR core module, an image recognition only three milliseconds. From Shanghai from Software Co. Ltd. CubicImage Software. , Ltd.. specifically targeted at Chinese LPR development. The software system uses a unique computer vision and image processing algorithms, positioning plates to identify quickly and accurately. Integrated pattern recognition algorithm for neural networks, adaptive learning, so that it can cope with the differe
Platform: | Size: 2053120 | Author: 刘先生 | Hits:

[SCMHandbookOfMultisensorDataFusion

Description: 《多传感器数据融合手册》 《Handbook of Multisensor Data Fusion》 作者: David L. Hall 定价: USD 199.95 出版社: CRC 出版年: 2001-06-20 简介 · · · · · ·    Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is an up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the field lead readers from a basic introduction and survey of data fusion technology to advanced mathematics and theory and to some very practical advice for systems implementers. -"multi-sensor data fusion manuals," "Handbook of Multisensor Da ta Fusion "Author : David L. Hall Price : USD 199.95 Press : CRC publication : 2001-06-20 Introduction Multisensor data fusio n is an emerging technology with important appl ications in both the military and civilian sect ors, such as target recognition, robotics, medical diagnostics. and "smart" buildings. It draws on techniques f rom wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is a n up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the f ield lead readers from a basic introduction and survey of data fusion technology to advanced ma thematics and theory and to some ve
Platform: | Size: 7569408 | Author: river_side | Hits:

[Documentszy3

Description: 摘要:图像处理技术是模式识别与人工智能的一个重要领域,其应用已扩展到农业领域的诸多方面。为 此,简要介绍了计算机图像处理及其应用的基本过程,概述了图像处理技术在农业机器人中的应用状况,并指出了图像处理技术应用于农业机器人领域所存在的问题。-Abstract: Image Processing Pattern Recognition and Artificial Intelligence technology is an important area, and their use has been extended to many aspects of the agricultural sector. To this end, a brief introduction of computer image processing and application of the basic process, provides an overview of image processing technology in the agricultural situation of the robot application and pointed out that the image processing technology in the field of agricultural robot problems.
Platform: | Size: 53248 | Author: 彭彭 | Hits:

[Documentszy4

Description: 摘要:图像处理技术是模式识别与人工智能的一个重要领域,其应用已扩展到农业领域的诸多方面。为 此,简要介绍了计算机图像处理及其应用的基本过程,概述了图像处理技术在农业机器人中的应用状况,并指出了图像处理技术应用于农业机器人领域所存在的问题。-Abstract: Image Processing Pattern Recognition and Artificial Intelligence technology is an important area, and their use has been extended to many aspects of the agricultural sector. To this end, a brief introduction of computer image processing and application of the basic process, provides an overview of image processing technology in the agricultural situation of the robot application and pointed out that the image processing technology in the field of agricultural robot problems.
Platform: | Size: 620544 | Author: 彭彭 | Hits:

[Graph RecognizePatternTheoryFromRepresentationtoInference

Description: 模式理论,从表示到推导。在模式识别中知识的表示通常是一个非常难的问题,这本书详细地描述了如何表达图像中的各个模式,并用得到的模式表达进行模式识别的推导。-This book is to be an accessible book on patterns, their representation, and inference. There are a small number of ideas and techniques that, when mastered, make the subject more accessible. This book has arisen from ten years of a research program which the authors have embarked upon, building on the more abstract developments of metric pattern theory developed by one of the authors during the 1970s and 1980s. The material has been taught over multiple semesters as part of a second year graduate-level course in pattern theory, essentially an introduction for students interested in the representation of patterns which are observed in the natural world. The course has attracted students studying biomedical engineering, computer science, electrical engineering, and applied mathematics interested in speech recognition and computational linguistics, as well as areas of image analysis, and computer vision.
Platform: | Size: 8412160 | Author: kkk | Hits:

[OpenCVLBP-v0.0.4

Description: Local Binary Patterns, calculate histogram of LBP (local binary patterns) from an input image,VLBP (volume local binary patterns) -Introduction ============ This is a class to calculate histogram of LBP (local binary patterns) from an input image, histograms of LBP-TOP (local binary patterns on three orthogonal planes) from an image sequence, histogram of the rotation invariant VLBP (volume local binary patterns) or uniform rotation invariant VLBP from an image sequence. Reference ========= 1. Guoying Zhao, Matti Pietikä inen, "Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 915-928, June 2007, doi:10.1109/TPAMI.2007.1110 2. Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using volume local binary patterns," In: Dynamical Vision, WDW 2005/2006 Proceedings, Lecture Notes in Computer Science 4358, 2006, 165-177. Example ======= Refer to `example directory for a simple demonstration. Change ====== * Some data structure are c
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