| 書目名稱 | Unifying Perspectives in Computational and Robot Vision |
| 編輯 | Danica Kragic,Ville Kyrki |
| 視頻video | http://file.papertrans.cn/943/942046/942046.mp4 |
| 概述 | Demonstrates state of the art in applying computer vision in robotics.Discusses contrasting viewpoints of computer vision vs robotics.Provides current and future challenges discussed from research per |
| 叢書名稱 | Lecture Notes in Electrical Engineering |
| 圖書封面 |  |
| 描述 | .Currently there is a gap between the research conducted in computer vision and robotics communities. There are many characteristics in common in computer vision research and vision research in robotics. Despite having these common interests, however, “pure” computer vision has seen significant theoretical and methodological advances during the last decade which many of the robotics researchers are not fully aware of. On the other hand, the manipulation and control capabilities of robots as well as the range of application areas have developed greatly. In robotics, vision can not be considered an isolated component, but it is instead a part of a system resulting in an action. Thus, in robotics the vision research must include consideration of the control of the system, in other words, the entire perception-action loop. This requires that a holistic system approach is useful and could provide significant advances in this application domain. Assembled here is a collection of some of the state of the art methods that are using computer vision and machine learning techniques and apply them in robotic applications.. |
| 出版日期 | Book 20081st edition |
| 關鍵詞 | Navigation; Tracking; Trend; computer; computer vision; humanoid robot; learning; machine learning; mobile r |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-75523-6 |
| isbn_softcover | 978-1-4419-4535-8 |
| isbn_ebook | 978-0-387-75523-6Series ISSN 1876-1100 Series E-ISSN 1876-1119 |
| issn_series | 1876-1100 |
| copyright | Springer-Verlag US 2008 |
|Archiver|手機版|小黑屋|
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