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OCoLC |
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20231017213018.0 |
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180406s2014 xx o 000 0 eng |
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|a AU@
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|z 9780128026236
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|z 9780128024195
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|a C20130195001
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|a 9780128024195
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|a (OCoLC)1102388611
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|2 23/eng/20230216
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|a UAMI
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1 |
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|a Gao, Yue,
|e author.
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1 |
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|a View-based 3-D Object Retrieval /
|c Gao, Yue.
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|a 1st edition.
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|b Morgan Kaufmann,
|c 2014.
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|a 1 online resource (154 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
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|a Content-based 3-D object retrieval has attracted extensive attention recently and has applications in a variety of fields, such as, computer-aided design, tele-medicine, mobile multimedia, virtual reality, and entertainment. The development of efficient and effective content-based 3-D object retrieval techniques has enabled the use of fast 3-D reconstruction and model design. Recent technical progress, such as the development of camera technologies, has made it possible to capture the views of 3-D objects. As a result, view-based 3-D object retrieval has become an essential but challenging research topic. View-based 3-D Object Retrieval introduces and discusses the fundamental challenges in view-based 3-D object retrieval, proposes a collection of selected state-of-the-art methods for accomplishing this task developed by the authors, and summarizes recent achievements in view-based 3-D object retrieval. Part I presents an Introduction to View-based 3-D Object Retrieval, Part II discusses View Extraction, Selection, and Representation, Part III provides a deep dive into View-Based 3-D Object Comparison, and Part IV looks at future research and developments including Big Data application and geographical location-based applications. Systematically introduces view-based 3-D object retrieval, including problem definitions and settings, methodologies, and benchmark testing beds Discusses several key challenges in view-based 3-D object retrieval, and introduces the state-of-the-art solutions Presents the progression from general image retrieval techniques to view-based 3-D object retrieval Introduces future research efforts in the areas of Big Data, feature extraction, and geographical location-based applications.
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|f Copyright ©: Elsevier Science & Technology
|g 2015
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550 |
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|a Made available through: Safari, an O'Reilly Media Company.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Database management.
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650 |
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6 |
|a Bases de données
|x Gestion.
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650 |
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7 |
|a Database management.
|2 fast
|0 (OCoLC)fst00888037
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700 |
1 |
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|a Dai, Qionghai,
|e author.
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2 |
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|a Safari, an O'Reilly Media Company.
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|u https://learning.oreilly.com/library/view/~/9780128024195/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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|a 92
|b IZTAP
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