3D object recognition and classification: a systematic literature review

被引：2
|
作者：
Carvalho, L. E. [1 ,2 ]
von Wangenheim, A. [1 ,2 ]
机构：
[1] Univ Fed Santa Catarina, Grad Program Comp Sci, Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Natl Brazilian Inst Digital Convergence, Image Proc & Comp Graph Lab, Florianopolis, SC, Brazil
来源：
PATTERN ANALYSIS AND APPLICATIONS | 2019年 / 22卷 / 04期
关键词：
3D object recognition; 3D object classification; 3D object representation; Systematic literature review; REGISTRATION ALGORITHM; CLUTTERED SCENES; POSE ESTIMATION; LOCAL APPROACH; REPRESENTATION; FEATURES; IMAGES; MODEL; SHAPE; SEGMENTATION;
D O I：
10.1007/s10044-019-00804-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1243 / 1292
页数：50
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