书目名称 | RGB-D Image Analysis and Processing | 编辑 | Paul L. Rosin,Yu-Kun Lai,Yonghuai Liu | 视频video | http://file.papertrans.cn/821/820130/820130.mp4 | 概述 | Covers the full range of RGB-D imaging: RGB-D data acquisition and processing, RGB-D data analysis, RGB-D applications.Detailed coverage of RGB-D imaging providing technical depth.Each chapter is writ | 丛书名称 | Advances in Computer Vision and Pattern Recognition | 图书封面 |  | 描述 | .This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. ..The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. .RGB-D Image Analysis and Processing .will enable both students and professional developers alike to qui | 出版日期 | Book 2019 | 关键词 | RGB-D Images; Computer Vision; 3D Shape Analysis; RGB-D Applications; 3D Image Analysis | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-28603-3 | isbn_softcover | 978-3-030-28605-7 | isbn_ebook | 978-3-030-28603-3Series ISSN 2191-6586 Series E-ISSN 2191-6594 | issn_series | 2191-6586 | copyright | Springer Nature Switzerland AG 2019 |
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