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Titlebook: Computer Vision: Theory and Industrial Applications; Carme Torras Book 1992 Springer-Verlag Berlin Heidelberg 1992 3D.Bildverarbeitung.Com

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書目名稱Computer Vision: Theory and Industrial Applications
編輯Carme Torras
視頻videohttp://file.papertrans.cn/235/234327/234327.mp4
圖書封面Titlebook: Computer Vision: Theory and Industrial Applications;  Carme Torras Book 1992 Springer-Verlag Berlin Heidelberg 1992 3D.Bildverarbeitung.Com
描述This book is the fruit of a very long and elaborate process. It was conceived as a comprehensive solution to several deficiencies encountered while trying to teach the essentials of Computer Vision in different contexts: to technicians from industry looking for technological solutions to some of their problems, to students in search of a good subject for a PhD thesis, and to researchers in other fields who believe that Computer Vision techniques may help them to analyse their results. The book was carefully planned with all these people in mind. Thus, it covers the fundamentals of both 2D and 3D Computer Vision and their most widespread industrial applications, such as automated inspection, robot guidance and workpiece acquisition. The level of explanation is that of an expanded introductory text, in the sense that, besides the basic material, some special advanced topics are included in each chapter, together with an extensive bibliography for experts to follow up. Well-known researchers on each of the topics were appointed to write a chapter following several guidelines to ensure a consistent presentation throughout. I would like to thank the authors for their patience, because s
出版日期Book 1992
關(guān)鍵詞3D; Bildverarbeitung; Computervision; Image Understanding; Maschinenvision; artificial intelligence; compu
版次1
doihttps://doi.org/10.1007/978-3-642-48675-3
isbn_softcover978-3-642-48677-7
isbn_ebook978-3-642-48675-3
copyrightSpringer-Verlag Berlin Heidelberg 1992
The information of publication is updating

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Eckehard Fozzy Moritz,Steve Haakeinterpret it, and can recognize objects from very different angles and even from fragments. It is reckoned that the human retina is capable of carrying out roughly ten billion operations per second and the brain’s visual cortex has an even greater capacity (Roberts 1965; Kirsch 1971).
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Erin Schmidt,Jonathan Roberts,Steve Rothbergisite. Thus, in order to state that “the head of the spanner is on the left of the nut”, regions of the image must already have been detected which can be labelled “spanner”, “nut”, or even more precisely “head of the spanner”. This process of dividing the image into significant regions is called ..
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https://doi.org/10.1007/978-0-387-46051-2des research in the field of artificial vision has been based on the use of digitized images as the fundamental elements required to achieve the ultimate objective of “interpreting” the three-dimensional scene. Whereas the human being is capable of inferring quickly and easily the depth relationship
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https://doi.org/10.1007/978-0-387-45951-6visual image, such as shape from shading, deformation of areas, and vanishing point analysis. However, these techniques are not always reliable. They may fail under unfavourable illumination conditions or when the underlying assumptions regarding the shape of the world surfaces are invalid. If, howe
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R. Keith Hanna,Eckehard Fozzy Moritzn and . processes which do not use such knowledge. A primary goal of an early vision system, be it human or mechanical, is to determine and represent the shape of objects from their image intensities. Marr (1982) calls such a representation, which makes explicit the distance to, and orientation of,
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Sports Engineering and Sustainability or their families. Often, in scenes habitually encountered, there are objects or parts of objects that are not available as reference models; that is to say, they are unknown, or they are known but they can only be partially found in the scene, either because other objects conceal them, or because
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