Improved Material Recognition Using Neural Networks

被引：0
|
作者：
Awan, M. Umer Shahzad [1 ]
Shahzad, Amir [1 ]
Shin, Dong Ryeol [1 ]
机构：
[1] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon, South Korea
来源：
2018 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ARTIFICIAL INTELLIGENCE (ICAAI 2018) | 2015年
关键词：
Material recognition; SIFT; Color SIFT; LBP; K-mean; Perimeter; Solidity; Edge detection; Flickr Material Database; Neural network; TEXTURE;
D O I：
10.1145/3292448.3292460
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Material recognition is a significant subtask in computer vision that has many different applications like autonomous cars in transport engineering, auto-lifting in robotics and even for some sort of autonomous-surgeries in medical field. In this paper, we suggest an improved method to recognize the materials of different categories from one photo image that is captured in an unidentified illumination and view-angle. For that purpose, several different features that cover dynamic material appearance in detail and all gathered information will be used by neural network for recognition. Our proposed method significantly improved in contrast to several leading alternatives including SIFT, Color SIFT, LBP, k-mean, and others. Additionally, we use a material database of Flickr Material Database ( FMD) to analyze our method for identifying materials of different categories including foliage, plastic, wood, glass, leather, metal, paper, fabric, water and stone.
引用
收藏
页码：20 / 23
页数：4
相关论文
共 50 条
  • [21] Face recognition using neural networks
    Debipersad, SC
    Broadhurst, AD
    COMSIG '97 - PROCEEDINGS OF THE 1997 SOUTH AFRICAN SYMPOSIUM ON COMMUNICATIONS AND SIGNAL PROCESSING, 1997, : 33 - 36
  • [22] Voice recognition using neural networks
    Venayagamoorthy, Ganesh K.
    Moonasar, Viresh
    Sandrasegaran, Kumbes
    Proceedings of the South African Symposium on Communications and Signal Processing, COMSIG, 1998, : 29 - 32
  • [23] SPEECH RECOGNITION USING NEURAL NETWORKS
    Kumar, T. Lalith
    Kumar, T. Kishore
    Rajan, K. Soundar
    PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS, 2009, : 248 - +
  • [24] Vowel Recognition using Neural Networks
    Sadeghi, Vahideh Sadat
    Yaghmaie, Khashayar
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2006, 6 (12): : 154 - 158
  • [25] Face recognition using neural networks
    Jamil, N
    Iqbal, S
    Iqbal, N
    IEEE INMIC 2001: IEEE INTERNATIONAL MULTI TOPIC CONFERENCE 2001, PROCEEDINGS: TECHNOLOGY FOR THE 21ST CENTURY, 2001, : 277 - 281
  • [26] Contour recognition using neural networks
    Soultan, H.
    Journal of Engineering and Applied Science, 2000, 47 (03): : 573 - 585
  • [27] Ensemble feature learning for material recognition with convolutional neural networks
    Peng Bian
    Wanwan Li
    Yi Jin
    Ruicong Zhi
    EURASIP Journal on Image and Video Processing, 2018
  • [28] Ensemble feature learning for material recognition with convolutional neural networks
    Bian, Peng
    Li, Wanwan
    Jin, Yi
    Zhi, Ruicong
    EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2018,
  • [29] Intelligent Ultrasonic Systems for Material Texture Recognition using Data-Efficient Neural Networks
    Zhang, Xin
    Yu, Xinrui
    Saniie, Jafar
    INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021), 2021,
  • [30] Improved Spiking Neural Networks with multiple neurons for digit recognition
    Chimmula, Vinay Kumar Reddy
    Zhang, Lei
    Palliath, Dhanya
    Kumar, Abhinay
    2020 11TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST), 2020,
12345