東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Indoor scene recognition by 3-D obje...

MeiBner, Pascal.

FindBook

Google Book

Amazon

博客來

Indoor scene recognition by 3-D object search = for robot programming by demonstration /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Indoor scene recognition by 3-D object search/ by Pascal MeiBner.
其他題名:	for robot programming by demonstration /
作者:	MeiBner, Pascal.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xix, 262 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- RelatedWork -- PassiveSceneRecognition -- ActiveSceneRecognition -- Evaluation -- Summary -- Appendix.
Contained By:	Springer eBooks
標題:	Robots - Programming. -
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 /
MeiBner, Pascal.

Indoor scene recognition by 3-D object searchfor robot programming by demonstration /[electronic resource] :by Pascal MeiBner. - Cham :Springer International Publishing :2020. - xix, 262 p. :ill. (some col.), digital ;24 cm. - Springer tracts in advanced robotics,v.1351610-7438 ;. - Springer tracts in advanced robotics ;v.135..

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:

656753
Robots
--Programming.

LC Class. No.: TJ211.45

Dewey Class. No.: 629.892

Indoor scene recognition by 3-D object search = for robot programming by demonstration /
LDR:02572nmm a2200337 a 4500 001 2214266
003 DE-He213
005 20200303135002.0
006 m d
007 cr nn 008maaau
008 201118s2020 sz s 0 eng d
020 $a 9783030318529 $q (electronic bk.)
020 $a 9783030318512 $q (paper)
024 7 $a 10.1007/978-3-030-31852-9 $2 doi
035 $a 978-3-030-31852-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ211.45
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 629.892 $2 23
090 $a TJ211.45 $b .M499 2020
100 1 $a MeiBner, Pascal. $3 3444567
245 1 0 $a Indoor scene recognition by 3-D object search $h [electronic resource] : $b for robot programming by demonstration / $c by Pascal MeiBner.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xix, 262 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer tracts in advanced robotics, $x 1610-7438 ; $v v.135
505 0 $a Introduction -- RelatedWork -- PassiveSceneRecognition -- ActiveSceneRecognition -- Evaluation -- Summary -- Appendix.
520 $a 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.
650 0 $a Robots $x Programming. $3 656753
650 1 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Robotics. $3 519753
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer tracts in advanced robotics ; $v v.135. $3 3444568
856 4 0 $u https://doi.org/10.1007/978-3-030-31852-9
950 $a Intelligent Technologies and Robotics (Springer-42732)