A Feature Extraction and Heatmap Generation Approach Based on 3D Object Models and CNNS

被引：0
|
作者：
Pachika, Shivani [1 ]
Yuan, Xiaobu [1 ]
机构：
[1] Univ Windsor, Sch Comp Sci, Windsor, ON, Canada
来源：
PROCEEDINGS OF SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND COMMUNICATION SYSTEMS, ICACECS 2021 | 2022年
关键词：
D O I：
10.1007/978-981-16-7389-4_26
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：275 / 285
页数：11
相关论文
共 50 条
  • [31] 3D mixed CNNs with edge-point feature learning
    Du, Zijin
    Ye, Hailiang
    Cao, Feilong
    KNOWLEDGE-BASED SYSTEMS, 2021, 221
  • [32] Mesh Convolution: A Novel Feature Extraction Method for 3D Nonrigid Object Classification
    Chen, Yu
    Zhao, Jieyu
    Shi, Congwei
    Yuan, Dongdong
    IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 23 : 3098 - 3111
  • [33] Point Feature Extraction on 3D Range Scans Taking into Account Object Boundaries
    Steder, Bastian
    Rusu, Radu Bogdan
    Konolige, Kurt
    Burgard, Wolfram
    2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011, : 2601 - 2608
  • [34] 3D OBJECT MATCHING BASED ON LOCAL FEATURE COMBINED WITH COLOR
    Li, Shui-Ping
    Li, Yan-Jun
    2013 10TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2013, : 11 - 15
  • [35] Feature-Based Monocular Dynamic 3D Object Reconstruction
    Jin, Shaokun
    Ou, Yongsheng
    SOCIAL ROBOTICS, ICSR 2018, 2018, 11357 : 380 - 389
  • [36] Robust 3D mesh model hashing based on feature object
    Lee, Suk-Hwan
    Kwon, Ki-Ryong
    DIGITAL SIGNAL PROCESSING, 2012, 22 (05) : 744 - 759
  • [37] Feature-based similarity search in 3D object databases
    Bustos, B
    Keim, DA
    Saupe, D
    Schreck, T
    Vranic, DV
    ACM COMPUTING SURVEYS, 2005, 37 (04) : 345 - 387
  • [38] Affordance-based 3D Feature for Generic Object Recognition
    Iizuka, M.
    Akizuki, S.
    Hashimoto, M.
    THIRTEENTH INTERNATIONAL CONFERENCE ON QUALITY CONTROL BY ARTIFICIAL VISION 2017, 2017, 10338
  • [39] Trained 3D Models for CNN based Object Recognition
    Sarkar, Kripasindhu
    Varanasi, Kiran
    Stricker, Didier
    PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 5, 2017, : 130 - 137
  • [40] Automatic 3D object placement for 3D scene generation
    Akazawa, Y
    Okada, Y
    Niijima, K
    MODELLING AND SIMULATION 2003, 2003, : 316 - 318
12345