RGB-D Image Analysis and Processing / Advances in Computer Vision and Pattern Recognition (PDF)
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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 quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects.
- 2019, 1st ed. 2019, 524 Seiten, Englisch
- Herausgegeben: Paul L. Rosin, Yu-Kun Lai, Ling Shao, Yonghuai Liu
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030286037
- ISBN-13: 9783030286033
- Erscheinungsdatum: 26.10.2019
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- Größe: 15 MB
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