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Titlebook: An Introduction to Object Recognition; Selected Algorithms Marco Alexander Treiber Book 2010 Springer-Verlag London Limited 2010 3D.Appear

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发表于 2025-3-21 17:40:19 | 显示全部楼层 |阅读模式
期刊全称An Introduction to Object Recognition
期刊简称Selected Algorithms
影响因子2023Marco Alexander Treiber
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发行地址Provides an easy-to-follow introduction to the field of object recognition.Covers a broad spectrum of applications.Describes the flow of each algorithm in detail for each method, including graphical i
学科分类Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: An Introduction to Object Recognition; Selected Algorithms  Marco Alexander Treiber Book 2010 Springer-Verlag London Limited 2010 3D.Appear
影响因子Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm.This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR).The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class.The presentation of each algorithm describes the basic algorithm flow in detail, complete with graphical illustrations.Pseudocode implementations are also included for many of the methods, and definitions are supplied for terms which may be unfamiliar to the novice reader.Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum.Topics and features: presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driv
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Die Vielfalt und Einheit der Moderneto be recognized as a whole, e.g., by one data set containing several global characteristics of the object like area, perimeter, and so on. Some typical algorithms sharing this object representation are presented in this chapter. A straightforward approach is to use an example image of the model to
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Die Vielfalt und Einheit der Moderneecognition can be performed as follows: First, a point set is extracted from a scene image. Subsequently, the parameters of a transformation which defines a mapping of the model point set to the point set derived from the scene image are estimated. To this end, the so-called transformation space, wh
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Friedrich Riffer,Barbara Stöcklognition, e.g., from CAD data of the object shape. Typically, these methods are feature based, meaning that the object is characterized by a limited set of primitives called features. For example, the silhouette of many industrial objects can be modeled by a set of line segments and circular arcs as
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Die Vielgestaltigkeit der Psychosomatikto difficulties for deformable objects, specific approaches exist for such types of objects. These methods use parametric curves, which should approximate the object contour as good as possible. The parameters of the curve should offer enough degrees of freedom for accurate approximations. Two types
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An Introduction to Object Recognition978-1-84996-235-3Series ISSN 2191-6586 Series E-ISSN 2191-6594
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https://doi.org/10.1007/978-1-84996-235-33D; Appearance-based Recognition; Computer Vision; Image Retrieval; Object Alignment; Object Pose; Object
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