3D local descriptors：a review

被引：0
|
作者：
Fang B. [1 ]
Ding J. [1 ]
Ma J. [1 ]
Ming D. [1 ]
机构：
[1] School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2022年 / 50卷 / 11期
关键词：
deep learning-based feature; hand-crafted feature; local; reference frame; three dimension;
D O I：
10.13245/j.hust.221101
中图分类号：
学科分类号：
摘要：
Local descriptors in the field of three dimension (3D) computer vision in the past three decades were summarized．Traditional methods of designing 3D manual local descriptors were reviewed，and deep learning-based methods were introduced．First，for 3D manual local features and learned features，an overview of their classification was provided from the perspectives of local reference frame system and 3D data representation，respectively，and some typical methods were highlighted．Then，common datasets of 3D local descriptors were outlined，and the performance of the existing descriptors on each dataset was statistically presented．Finally，some issues worthy of future research in the field of 3D descriptors were discussed. © 2022 Huazhong University of Science and Technology. All rights reserved.
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页码：1 / 15
页数：14
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