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Viewbased 3d Object Retrieval 1st Edition Yue Gao Qionghai Dai

  • SKU: BELL-5138910
Viewbased 3d Object Retrieval 1st Edition Yue Gao Qionghai Dai
$ 31.00 $ 45.00 (-31%)

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Viewbased 3d Object Retrieval 1st Edition Yue Gao Qionghai Dai instant download after payment.

Publisher: Morgan Kaufmann
File Extension: PDF
File size: 21.12 MB
Pages: 154
Author: Yue Gao, Qionghai Dai
ISBN: 9780128024195, 0128024194
Language: English
Year: 2014
Edition: 1

Product desciption

Viewbased 3d Object Retrieval 1st Edition Yue Gao Qionghai Dai by Yue Gao, Qionghai Dai 9780128024195, 0128024194 instant download after payment.

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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