书目名称 | Image-Based Geometric Modeling and Mesh Generation | 编辑 | Yongjie (Jessica) Zhang | 视频video | | 概述 | Shows the current state-of-the-art of image-based modeling points out the future directions in the field of Mesh Generation.Includes various novel algorithms developed to solve different problems.Incl | 丛书名称 | Lecture Notes in Computational Vision and Biomechanics | 图书封面 |  | 描述 | .As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation..This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications..This contributed volume, the fi | 出版日期 | Book 2013 | 关键词 | biomechanics; finite elements; geometric modeling; image processing; mesh generation | 版次 | 1 | doi | https://doi.org/10.1007/978-94-007-4255-0 | isbn_softcover | 978-94-017-7843-5 | isbn_ebook | 978-94-007-4255-0Series ISSN 2212-9391 Series E-ISSN 2212-9413 | issn_series | 2212-9391 | copyright | Springer Science+Business Media Dordrecht 2013 |
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