Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques

被引:0
|
作者
Sowmya, B.J. [1 ]
Meeradevi [2 ]
Seema, S. [3 ]
Dayananda, P. [4 ]
Supreeth, S. [5 ]
Shruthi, G. [5 ]
Rohith, S. [6 ]
机构
[1] Department of Artificial, Intelligence and Data Science, Ramaiah Institute of Technology, Karnataka, Bengaluru, India
[2] Department of Artificial, Intelligence and Machine Learning, Ramaiah Institute of Technology, Karnataka, Bengaluru, India
[3] Department of Computer Science and Engineering, M S Ramaiah Institute of Technology, Karnataka, Bengaluru, India
[4] Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Karnataka, Manipal, India
[5] School of Computer Science and Engineering, REVA University, Karnataka, Bengaluru, India
[6] Department of Electronics & Communication Engineering, Nagarjuna College of Engineering & Technology, Karnataka, Bengaluru, India
关键词
All Open Access; Gold;
D O I
暂无
中图分类号
学科分类号
摘要
33
引用
收藏
页码:59 / 74
相关论文
共 50 条
  • [11] Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques
    Conelea, Christine
    Liang, Hengyue
    DuBois, Megan
    Raab, Brittany
    Kellman, Mia
    Wellen, Brianna
    Jacob, Suma
    Wang, Sonya
    Sun, Ju
    Lim, Kelvin
    MOVEMENT DISORDERS, 2024, 39 (01) : 183 - 191
  • [12] Eye Movement Tracking for Computer Vision Syndrome using Deep Learning Techniques
    1600, Institute of Electrical and Electronics Engineers Inc.
  • [13] Complex Deep Learning and Evolutionary Computing Models in Computer Vision
    Zhang, Li
    Lim, Chee Peng
    Han, Jungong
    COMPLEXITY, 2019, 2019
  • [14] Application of Deep Learning to Computer Vision: A Comprehensive Study
    Islam, S. M. Sofiqul
    Rahman, Shanto
    Rahman, Md. Mostafijur
    Dey, Emon Kumar
    Shoyaib, Mohammad
    2016 5TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS AND VISION (ICIEV), 2016, : 592 - 597
  • [15] Quantification of visual blockage at culverts using deep learning based computer vision models
    Iqbal, Umair
    Bin Riaz, Muhammad Zain
    Barthelemy, Johan
    Perez, Pascal
    URBAN WATER JOURNAL, 2023, 20 (01) : 26 - 38
  • [16] Deep learning and computer vision techniques for microcirculation analysis: A review
    Helmy, Maged
    Truong, Trung Tuyen
    Jul, Eric
    Ferreira, Paulo
    PATTERNS, 2023, 4 (01):
  • [17] Modelling vision using deep learning techniques
    Mohsenzadeh, Yalda
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (07)
  • [18] AUTOMATIC POLYP DETECTION IN COLONOSCOPY PROCEDURE USING DEEP LEARNING AND COMPUTER VISION TECHNIQUES
    Zur, Dror
    Gal, Oren
    Kopelman, Yael
    GASTROENTEROLOGY, 2018, 154 (06) : S35 - S36
  • [19] Intelligent Traffic Signal Automation Based on Computer Vision Techniques Using Deep Learning
    Ubaid, Muhammad Talha
    Saba, Tanzila
    Draz, Hafiz Umer
    Rehman, Amjad
    Ghani, Muhammad Usman
    Kolivand, Hoshang
    IT PROFESSIONAL, 2022, 24 (01) : 27 - 33
  • [20] Vision-based texture and color analysis of waterbody images using computer vision and deep learning techniques
    Erfani, Seyed Mohammad Hassan
    Goharian, Erfan
    JOURNAL OF HYDROINFORMATICS, 2023, 25 (03) : 835 - 850