| 书目名称 | Perspectives in Shape Analysis | | 编辑 | Michael Breuß,Alfred Bruckstein,Stefanie Wuhrer | | 视频video | | | 概述 | Presentation of recent advances in the field of shape analysis.Written by experts in the field of shape analysis who are part of different communities.Provides a unique view of the topic from a variet | | 丛书名称 | Mathematics and Visualization | | 图书封面 |  | | 描述 | This book presents recent advances in the field of shape analysis. Written by experts in the fields of continuous-scale shape analysis, discrete shape analysis and sparsity, and numerical computing who hail from different communities, it provides a unique view of the topic from a broad range of perspectives..Over the last decade, it has become increasingly affordable to digitize shape information at high resolution. Yet analyzing and processing this data remains challenging because of the large amount of data involved, and because modern applications such as human-computer interaction require real-time processing. Meeting these challenges requires interdisciplinary approaches that combine concepts from a variety of research areas, including numerical computing, differential geometry, deformable shape modeling, sparse data representation, and machine learning. On the algorithmic side, many shape analysis tasks are modeled using partial differential equations, which can be solved using tools from the field of numerical computing. The fields of differential geometry and deformable shape modeling have recently begun to influence shape analysis methods. Furthermore, tools from the field | | 出版日期 | Conference proceedings 2016 | | 关键词 | discrete and continuous shape models; machine learning; mathematical morphology; shape analysis; sparsit | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-24726-7 | | isbn_softcover | 978-3-319-79667-3 | | isbn_ebook | 978-3-319-24726-7Series ISSN 1612-3786 Series E-ISSN 2197-666X | | issn_series | 1612-3786 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 19:36:15
