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Titlebook: Object Recognition; Fundamentals and Cas M. Bennamoun,G. J. Mamic Book 2002 Springer-Verlag London 2002 3D.Computer Vision.Object Recogniti

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發(fā)表于 2025-3-21 16:43:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Object Recognition
副標(biāo)題Fundamentals and Cas
編輯M. Bennamoun,G. J. Mamic
視頻videohttp://file.papertrans.cn/701/700148/700148.mp4
概述The only book to consolidate concepts and tools to design and implement an object recognition system.Accompanied by a webpage and ftp site from where readers can download codes from each chapter
叢書(shū)名稱Advances in Computer Vision and Pattern Recognition
圖書(shū)封面Titlebook: Object Recognition; Fundamentals and Cas M. Bennamoun,G. J. Mamic Book 2002 Springer-Verlag London 2002 3D.Computer Vision.Object Recogniti
描述Automatie object recognition is a multidisciplinary research area using con- cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a compreh
出版日期Book 2002
關(guān)鍵詞3D; Computer Vision; Object Recognition; Pattern Classification; Stereo; classification; cognition; image p
版次1
doihttps://doi.org/10.1007/978-1-4471-3722-1
isbn_softcover978-1-4471-3724-5
isbn_ebook978-1-4471-3722-1Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer-Verlag London 2002
The information of publication is updating

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Stereo Matching and Reconstruction of a Depth Mapure 2.1. This chapter will provide a description of the fundamentals of stereo vision by reviewing area, transform, symbolic feature, hybrid, phase, relaxation, dynamic programming and object space-based techniques. The chapter concludes with a discussion of the constraints which exist within curren
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3-D Object Creation for Recognition3-D data must be aligned in a common coordinate system, as in reverse engineering where multiple 3-D scans are combined to construct a complete surface model and in medical imaging where the fusion of information over a range of modalities provides comprehensive diagnostic information. In this work
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Optical Character Recognitionn to begin this part with optical character recognition and use some of the concepts developed in this chapter to introduce a 2-D system for the recognition of objects by parts in Chapter 6. Chapter 7 then goes on to introduce a range of 3-D object recognition systems and provides a detailed case st
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M. Bennamoun Ing, MSc, PhD,G. J. Mamic BEng, PhD Ingeniería (SEMNI).Formulates versatile finite element for .This book treats the derivation and implementation of a unified particle finite element formulation for the solution of fluid and solid mechanics, Fluid-Structure Interaction (FSI) and coupled thermal problems..FSI problems are involved in
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