NDLI: An overview of partial 3D object retrieval methodologies

Content Provider	Springer Nature Link
Author	Savelonas, Michalis A. Pratikakis, Ioannis Sfikas, Konstantis
Copyright Year	2014
Abstract	This work offers an overview of the state-of-the-art on the emerging area of 3D object retrieval based on partial queries. This research area is associated with several application domains, including face recognition and digital libraries of cultural heritage objects. The existing partial 3D object retrieval methods can be mainly classified as: i) view-based, ii) part-based, iii) bag of visual words (BoVW)-based, and iv) hybrid methods combining these three main paradigms or methods which cannot be straightforwardly classified. Several methodological aspects are identified, including the use of interest points and the exploitation of 2.5D projections, whereas the available evaluation datasets and campaigns are addressed. A thorough discussion follows, identifying advantages and limitations.
Starting Page	11783
Ending Page	11808
Page Count	26
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	74
Issue Number	24
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2014-09-28
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Partial 3D object retrieval Interest point detection View-based retrieval Part-based retrieval Bag of visual words Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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