Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing

Srivastava Akhilesh Mohan; Rotte Priyanka Ajay; Jain ArushiPrakash Surya

首页> 外文期刊>International journal on Semantic Web and information systems >Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing

【24h】

Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing

机译：Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing

获取原文

获取原文并翻译 | 示例

获取外文期刊封面封底 >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Due to the availability of cheap 3D sensors such as Kinect and LiDAR, the use of 3D data in various domains such as manufacturing, healthcare, and retail to achieve operational safety, improved outcomes, and enhanced customer experience has gained momentum in recent years. In many of these domains, object recognition is being performed using 3D data against the difficulties posed by illumination, pose variation, scaling, etc. present in 2D data. In this work, the authors propose three data augmentation techniques for 3D data in point cloud representation that use sub-sampling. They then verify that the 3D samples created through data augmentation carry the same information by comparing the iterative closest point registration error within the sub-samples, between the subsamples and their parent sample, between the sub-samples with different parents and the same subject, and finally, between the sub-samples of different subjects. They also verify that the augmented sub-samples have the same characteristics and features as those of the original 3D point cloud by applying the central limit theorem.

著录项

来源
《International journal on Semantic Web and information systems》 |2022年第1期|共16页
作者
Srivastava Akhilesh Mohan; Rotte Priyanka Ajay; Jain ArushiPrakash Surya;
展开▼
作者单位

Indian Inst Technol;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类计算机网络;
关键词
3D Biometrics; 3D Data Processing; Computer Vision; Data Augmentation; Object Recognition; Sampling; MUTUAL AUTHENTICATION PROTOCOL; FACE RECOGNITION; IOT;

Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing

摘要

著录项

相关主题

期刊订阅