Effectiveness of Feature Extraction System for Multimodal Sensor Information Based on VRAE and Its Application to Object Recognition

被引：1
|
作者：
Hayashi, Kazuki [1 ]
Tanaka, Daisuke [1 ]
机构：
[1] Natl Inst Technol KOSEN, Niihama Coll, Niihama 7928580, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2023年 / E106D卷 / 05期
关键词：
dimensionality reduction; auto-encoder; object recognition;
D O I：
10.1587/transinf.2022DLL0008
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To achieve object recognition, it is necessary to find the unique features of the objects to be recognized. Results in prior research suggest that methods that use multiple modalities information are effective to find the unique features. In this paper, the overview of the system that can extract the features of the objects to be recognized by integrating vi-sual, tactile, and auditory information as multimodal sensor information with VRAE is shown. Furthermore, a discussion about changing the com-bination of modalities information is also shown.
引用
收藏
页码：833 / 835
页数：3
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