國立虎尾科技大學 |

Indoor Scene Recognition by 3-D Object Search = For Robot Programming by Demonstration /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Indoor Scene Recognition by 3-D Object Search/ by Pascal Meißner.
其他題名:	For Robot Programming by Demonstration /
作者:	Meißner, Pascal.
面頁冊數:	XIX, 262 p. 116 illus., 89 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Imaging, Vision, Pattern Recognition and Graphics. -
電子資源:	https://doi.org/10.1007/978-3-030-31852-9
ISBN:	9783030318529

Indoor Scene Recognition by 3-D Object Search = For Robot Programming by Demonstration /
Meißner, Pascal.

Indoor Scene Recognition by 3-D Object SearchFor Robot Programming by Demonstration /[electronic resource] :by Pascal Meißner. - 1st ed. 2020. - XIX, 262 p. 116 illus., 89 illus. in color.online resource. - Springer Tracts in Advanced Robotics,1351610-7438 ;. - Springer Tracts in Advanced Robotics,105.

Introduction -- RelatedWork -- PassiveSceneRecognition -- ActiveSceneRecognition -- Evaluation -- Summary -- Appendix. .

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 camera views 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 introduces a method for predicting the poses of objects to be searched, establishing the otherwise missing link between scene recognition and NBV estimation.

ISBN: 9783030318529

Standard No.: 10.1007/978-3-030-31852-9doiSubjects--Topical Terms:

671334
Computer Imaging, Vision, Pattern Recognition and Graphics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

Indoor Scene Recognition by 3-D Object Search = For Robot Programming by Demonstration /
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