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Titlebook: Representations and Techniques for 3D Object Recognition and Scene Interpretation; Derek Hoiem,Silvio Savarese Book 2011 Springer Nature S

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書目名稱Representations and Techniques for 3D Object Recognition and Scene Interpretation
編輯Derek Hoiem,Silvio Savarese
視頻videohttp://file.papertrans.cn/828/827448/827448.mp4
叢書名稱Synthesis Lectures on Artificial Intelligence and Machine Learning
圖書封面Titlebook: Representations and Techniques for 3D Object Recognition and Scene Interpretation;  Derek Hoiem,Silvio Savarese Book 2011 Springer Nature S
描述One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to c
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-3-031-01557-1
isbn_softcover978-3-031-00429-2
isbn_ebook978-3-031-01557-1Series ISSN 1939-4608 Series E-ISSN 1939-4616
issn_series 1939-4608
copyrightSpringer Nature Switzerland AG 2011
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978-3-031-00429-2Springer Nature Switzerland AG 2011
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Representations and Techniques for 3D Object Recognition and Scene Interpretation978-3-031-01557-1Series ISSN 1939-4608 Series E-ISSN 1939-4616
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Examples of 3D Scene InterpretationIn this chapter, we provide three examples of algorithms for learning and inferring spatial layout from images.
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Recognizing and Understanding 3D ObjectsIn this chapter, we discuss important practical considerations, including datasets, annotation, and learning strategies, for recognizing and understanding 3D objects.
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Background on 3D Recognitionthe object shape. These geometrical attributes may provide strong cues for interpreting the interaction among objects in the scene, estimating object functionalities, and, ultimately, for inferring the 3D layout of the scenes as we shall see in more detail in Part III of this book (Figure 6.1c).
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Book 2011ity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to c
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ieb der einzelnen Geb?ude. Es ist wichtig, in Systemen zu denken und Gesamtkonzepte von einem holistischen Ansatz heraus zu entwickeln. Jüngste Fehlentwicklungen wie die so genannten Passivh?user und einige Projekte zur verst?rkten Nutzung von Biotreibstoffen haben gezeigt, welche Folgen einseitiges
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