A PCA-CCA network for RGB-D object recognition
Sun, Shiying1,2; An, Ning1,2; Zhao, Xiaoguang1; Tan, Min1
2018-01-17
发表期刊INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
卷号15期号:1
文章类型Article
摘要Object recognition is one of the essential issues in computer vision and robotics. Recently, deep learning methods have achieved excellent performance in red-green-blue (RGB) object recognition. However, the introduction of depth information presents a new challenge: How can we exploit this RGB-D data to characterize an object more adequately? In this article, we propose a principal component analysis-canonical correlation analysis network for RGB-D object recognition. In this new method, two stages of cascaded filter layers are constructed and followed by binary hashing and block histograms. In the first layer, the network separately learns principal component analysis filters for RGB and depth. Then, in the second layer, canonical correlation analysis filters are learned jointly using the two modalities. In this way, the different characteristics of the RGB and depth modalities are considered by our network as well as the characteristics of the correlation between the two modalities. Experimental results on the most widely used RGB-D object data set show that the proposed method achieves an accuracy which is comparable to state-of-the-art methods. Moreover, our method has a simpler structure and is efficient even without graphics processing unit acceleration.
关键词Object Recognition Pcanet 3d Perception Canonical Correlation Analysis Deep Learning
WOS标题词Science & Technology ; Technology
DOI10.1177/1729881417752820
关键词[WOS]FEATURES ; CLASSIFICATION ; CATEGORY ; SCENE
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61673378 ; (B132011) ; 61421004)
WOS研究方向Robotics
WOS类目Robotics
WOS记录号WOS:000422918400001
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21932
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
推荐引用方式
GB/T 7714
Sun, Shiying,An, Ning,Zhao, Xiaoguang,et al. A PCA-CCA network for RGB-D object recognition[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2018,15(1).
APA Sun, Shiying,An, Ning,Zhao, Xiaoguang,&Tan, Min.(2018).A PCA-CCA network for RGB-D object recognition.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,15(1).
MLA Sun, Shiying,et al."A PCA-CCA network for RGB-D object recognition".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 15.1(2018).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Sun, Shiying]的文章
[An, Ning]的文章
[Zhao, Xiaoguang]的文章
百度学术
百度学术中相似的文章
[Sun, Shiying]的文章
[An, Ning]的文章
[Zhao, Xiaoguang]的文章
必应学术
必应学术中相似的文章
[Sun, Shiying]的文章
[An, Ning]的文章
[Zhao, Xiaoguang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。