| 书目名称 | Indoor Scene Recognition by 3-D Object Search |
| 副标题 | For Robot Programmin |
| 编辑 | Pascal‘Meißner |
| 视频video | |
| 概述 | Focuses on enabling mobile robots to recognize scenes in distributed and cluttered indoor environments.Connects two research problems (scene recognition and 3-D object search), which are usually inves |
| 丛书名称 | Springer Tracts in Advanced Robotics |
| 图书封面 |  |
| 描述 | This book focuses on enabling mobile robots to recognize scenes in indoor environments, in order to allow them to determine which actions are appropriate at which points in time. In concrete terms, future robots will have to solve the classification problem represented by scene recognition sufficiently well for them to act independently in human-centered environments. To achieve accurate yet versatile indoor scene recognition, the book presents a hierarchical data structure for scenes – the Implicit Shape Model trees. Further, it also provides training and recognition algorithms for these trees. In general, entire indoor scenes cannot be perceived from a single point of view. To address this problem the authors introduce Active Scene Recognition (ASR), a concept that embeds canonical scene recognition in a decision-making system that selects camera views for a mobile robot to drive to so that it can find objects not yet localized. The authors formalize the automatic selection of cameraviews as a Next-Best-View (NBV) problem to which they contribute an algorithmic solution, which focuses on realistic problem modeling while maintaining its computational efficiency. Lastly, the book i |
| 出版日期 | Book 2020 |
| 关键词 | Robotics; Scene Understanding; Recognition; Computer Vision for Robotics and Automation; 3-D Object Sear |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-31852-9 |
| isbn_softcover | 978-3-030-31854-3 |
| isbn_ebook | 978-3-030-31852-9Series ISSN 1610-7438 Series E-ISSN 1610-742X |
| issn_series | 1610-7438 |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 17:44:57
