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View-based 3-D Object Retrieval
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eBook
View-based 3-D Object Retrieval
2014,2015
Overview
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
Publisher
Elsevier Science,Elsevier Science & Technology,Morgan Kaufmann,Elsevier
ISBN
9780128026236, 0128026235, 9780128024195, 0128024194
