3D object recognition and classification: a systematic literature review

In this paper, we present a systematic literature review concerning 3D object recognition and classification. We cover articles published between 2006 and 2016 available in three scientific databases (ScienceDirect, IEEE Xplore and ACM), using the methodology for systematic review proposed by Kitche...

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Published inPattern analysis and applications : PAA Vol. 22; no. 4; pp. 1243 - 1292
Main Authors Carvalho, L. E., von Wangenheim, A.
Format Journal Article
LanguageEnglish
Published London Springer London 01.11.2019
Springer Nature B.V
Subjects
Classification
Computer Science
Literature reviews
Object recognition
Pattern Recognition
Survey
3D object representation
3D object recognition
3D object classification
Systematic literature review
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Summary:In this paper, we present a systematic literature review concerning 3D object recognition and classification. We cover articles published between 2006 and 2016 available in three scientific databases (ScienceDirect, IEEE Xplore and ACM), using the methodology for systematic review proposed by Kitchenham. Based on this methodology, we used tags and exclusion criteria to select papers about the topic under study. After the works selection, we applied a categorization process aiming to group similar object representation types, analyzing the steps applied for object recognition, the tests and evaluation performed and the databases used. Lastly, we compressed all the obtained information in a general overview and presented future prospects for the area.
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ISSN:1433-7541
1433-755X
DOI:10.1007/s10044-019-00804-4