View-based 3-D Object Retrieval

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Application Software, Computer Graphics, General Computing
Cover of the book View-based 3-D Object Retrieval by Yue Gao, Qionghai Dai, Elsevier Science
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Author: Yue Gao, Qionghai Dai ISBN: 9780128026236
Publisher: Elsevier Science Publication: December 4, 2014
Imprint: Morgan Kaufmann Language: English
Author: Yue Gao, Qionghai Dai
ISBN: 9780128026236
Publisher: Elsevier Science
Publication: December 4, 2014
Imprint: Morgan Kaufmann
Language: English

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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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.

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