Content-based 3-D object retrieval has attracted extensive attention recently and has applications in a variety of fields, including computer aided design, tele-medicine, mobile multimedia, virtual reality, and entertainment. The development of efficient and effective content-based 3-D object retrieval techniques have 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 and challenging research topic. View-based 3-D Object Retrieval introduces and discusses the fundamental challenges in 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 3-D object retrieval. Part I presents and Introduction to 3D Object Retrieval, Part II Discusses View Extraction, Selection, and Representation, Part III provides an deep dive into View-Based 3-D Object Comparison, Part IV Looks at future research and developments including Big Data application and geographical location based applications. Systematically introduces 3-D object retrieval, including problem definitions and settings, methodologies, and benchmark testing bedsDiscusses several key challenges in 3-D object retrieval, and introduces the state-of-the-art solutionsPresents the progression from general image retrieval techniques to view-based 3D object retrievalIntroduces future research efforts in the areas of Big Data, feature extraction and geographical location based applications INDICE: Part I The Start 1. Introduction 2. The Benchmark and Evaluation Part II View Extraction, Selection, and Representation 3. View Extraction 4. View Selection 5. View Representation Part III View-Based 3-D Object Comparison 6. Multiple-View Distance Metric 7. Learning-based 3-D Object Retrieval Part IV Conclusion 8. Conclusions and Future Work
- ISBN: 978-0-12-802419-5
- Editorial: Morgan Kaufmann
- Encuadernacion: Rústica
- Páginas: 152
- Fecha Publicación: 16/01/2015
- Nº Volúmenes: 1
- Idioma: Inglés