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LEADER 00000cam 2200517Ii 4500
006 m o d
007 cr cnu|||unuuu
008 191016s2020 sz a ob 000 0 eng d
020 9783030318529|q(electronic bk.)
020 3030318524|q(electronic bk.)
024 7 10.1007/978-3-030-31852-9|2doi
024 7 10.1007/978-3-030-31
050 4 TJ211.45
082 04 629.8/92|223
100 1 Meissner, Pascal,|eauthor.
245 10 Indoor scene recognition by 3-D object search :|bfor robot
programming by demonstration /|cPascal Meiner.
264 1 Cham, Switzerland :|bSpringer,|c2020.
300 1 online resource (xix, 262 pages) :|billustrations (some
338 online resource|bcr|2rdacarrier
347 text file|2rdaft|0http://rdaregistry.info/termList/
490 1 Springer tracts in advanced robotics,|x1610-7438 ;|vvolume
504 Includes bibliographical references.
505 0 Introduction -- RelatedWork -- PassiveSceneRecognition --
ActiveSceneRecognition -- Evaluation -- Summary --
520 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.
588 0 Online resource; title from PDF title page (SpringerLink,
viewed October 16, 2019).
650 0 Robots|xProgramming.|0http://id.loc.gov/authorities/
776 08 |cOriginal|z3030318516|z9783030318512|w(OCoLC)1113882925.
830 0 Springer tracts in advanced robotics ;|0http://id.loc.gov/
990 SpringerLink|bSpringer English/International eBooks 2020 -
Full Set|c2019-11-08|yAdded to collection