View-based 3-D Object Retrieval:
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 retrieva...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Saint Louis
Elsevier Science
2014
|
| Schriftenreihe: | Computer Science Reviews and Trends
|
| Schlagworte: | |
| Zusammenfassung: | 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 bedsDiscusses several key challenges in view-based 3-D object retrieval, and introduces the state-of-the-art solutionsPresents the progression from general image retrieval techniques to view-based 3-D object retrievalIntroduces future research efforts in the areas of Big Data, feature extraction, and geographical location-based applications |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (154 pages) |
| ISBN: | 9780128026236 9780128024195 |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:30:55Z |
| institution | BVB |
| isbn | 9780128026236 9780128024195 |
| language | English |
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| publisher | Elsevier Science |
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| series2 | Computer Science Reviews and Trends |
| spelling | Gao, Yue Verfasser aut View-based 3-D Object Retrieval Saint Louis Elsevier Science 2014 © 2015 1 online resource (154 pages) txt rdacontent c rdamedia cr rdacarrier Computer Science Reviews and Trends Description based on publisher supplied metadata and other sources 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 bedsDiscusses several key challenges in view-based 3-D object retrieval, and introduces the state-of-the-art solutionsPresents the progression from general image retrieval techniques to view-based 3-D object retrievalIntroduces future research efforts in the areas of Big Data, feature extraction, and geographical location-based applications Datenverarbeitung Image processing -- Data processing Pattern recognition systems -- Quality control Dai, Qionghai Sonstige oth Erscheint auch als Druck-Ausgabe Gao, Yue View-based 3-D Object Retrieval |
| spellingShingle | Gao, Yue View-based 3-D Object Retrieval Datenverarbeitung Image processing -- Data processing Pattern recognition systems -- Quality control |
| title | View-based 3-D Object Retrieval |
| title_auth | View-based 3-D Object Retrieval |
| title_exact_search | View-based 3-D Object Retrieval |
| title_full | View-based 3-D Object Retrieval |
| title_fullStr | View-based 3-D Object Retrieval |
| title_full_unstemmed | View-based 3-D Object Retrieval |
| title_short | View-based 3-D Object Retrieval |
| title_sort | view based 3 d object retrieval |
| topic | Datenverarbeitung Image processing -- Data processing Pattern recognition systems -- Quality control |
| topic_facet | Datenverarbeitung Image processing -- Data processing Pattern recognition systems -- Quality control |
| work_keys_str_mv | AT gaoyue viewbased3dobjectretrieval AT daiqionghai viewbased3dobjectretrieval |