An Object Recognition Method using RGB-D Sensor

被引：1
|
作者：
Maeda, Daisuke [1 ]
Morimoto, Masakazu [1 ]
机构：
[1] Univ Hyogo, Div Comp Engn, Himeji, Hyogo 6712201, Japan
来源：
2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013) | 2013年
关键词：
RGB-D sensor; object recognition; minor subspace method;
D O I：
10.1109/ACPR.2013.156
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To recognize objects within narrow categories, it is important to extract effective features from small number of training samples. In this paper, first we discuss several depth features to improve object recognition accuracy. After that, we also discuss feature dimension reduction when we have insufficient training samples.
引用
收藏
页码：857 / 861
页数：5
相关论文
共 50 条
  • [21] Application of Transfer Learning in RGB-D Object Recognition
    Kumar, Abhishek
    Shrivatsav, S. Nithin
    Subrahmanyam, G. R. K. S.
    Mishra, Deepak
    2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2016, : 580 - 584
  • [22] Recurrent Convolutional Fusion for RGB-D Object Recognition
    Loghmani, Mohammad Reza
    Planamente, Mirco
    Caputo, Barbara
    Vincze, Markus
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2019, 4 (03) : 2878 - 2885
  • [23] Convolutional Fisher Kernels for RGB-D Object Recognition
    Cheng, Yanhua
    Cai, Rui
    Zhao, Xin
    Huang, Kaiqi
    2015 INTERNATIONAL CONFERENCE ON 3D VISION, 2015, : 135 - 143
  • [24] Object Class and Instance Recognition on RGB-D Data
    Seib, Viktor
    Christ-Friedmann, Susanne
    Thierfelder, Susanne
    Paulus, Dietrich
    SIXTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2013), 2013, 9067
  • [25] Deep sensorimotor learning for RGB-D object recognition
    Thermos, Spyridon
    Papadopoulos, Georgios Th.
    Daras, Petros
    Potamianos, Gerasimos
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 190
  • [26] Backward Recognition System For Wheelchair User Using RGB-D Sensor
    Ikeda, Koki
    Manabe, Yoshitsugu
    Yata, Noriko
    2018 INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT), 2018,
  • [27] Recognition and Location Algorithm for Pallets in Warehouses Using RGB-D Sensor
    Zhao, Junhong
    Li, Bin
    Wei, Xinyu
    Lu, Huazhong
    Lu, Enli
    Zhou, Xingxing
    APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [28] Human Action Recognition with Contextual Constraints using a RGB-D Sensor
    Gu, Ye
    Sheng, Weihua
    Ou, Yongsheng
    Liu, Meiqin
    Zhang, Senlin
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 674 - 679
  • [29] Using GNG on 3D Object Recognition in Noisy RGB-D data
    Rangel, Jose Carlos
    Morell, Vicente
    Cazorla, Miguel
    Orts-Escolano, Sergio
    Garcia-Rodriguez, Jose
    2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2015,
  • [30] Estimation of Flat Object Deformation Using RGB-D Sensor for Robot Reproduction
    He, Xin
    Matsumaru, Takafumi
    SENSORS, 2021, 21 (01) : 1 - 36
12345