| 書目名稱 | Consumer Depth Cameras for Computer Vision |
| 副標(biāo)題 | Research Topics and |
| 編輯 | Andrea Fossati,Juergen Gall,Kurt Konolige |
| 視頻video | http://file.papertrans.cn/237/236188/236188.mp4 |
| 概述 | Describes a topic of computer vision that will be key in coming years.With a broad appeal, bridging academic and corporate research.Provides publicly-available code for many of the applications descri |
| 叢書名稱 | Advances in Computer Vision and Pattern Recognition |
| 圖書封面 |  |
| 描述 | The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton. |
| 出版日期 | Book 2013 |
| 關(guān)鍵詞 | 3D Point Cloud; Computer Vision; Consumer Depth Cameras; Kinect; Pattern Recognition |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-4640-7 |
| isbn_softcover | 978-1-4471-6977-2 |
| isbn_ebook | 978-1-4471-4640-7Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
| issn_series | 2191-6586 |
| copyright | Springer-Verlag London 2013 |
|Archiver|手機(jī)版|小黑屋|
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