Open Science Research Excellence

ICGDR 2023 : International Conference on Geovisualization and Data Representation

Paris, France
December 30 - 31, 2023

Conference Code: 23FR12ICGDR

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICGDR 2023 has teamed up with the Special Journal Issue on Geovisualization and Data Representation. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   February 13, 2022
Notification of Acceptance/Rejection   February 27, 2022
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 29, 2023
Conference Dates   December 30 - 31, 2023

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Thresholding Approach for Automatic Detection of Pseudomonas aeruginosa Biofilms from Fluorescence in situ Hybridization Images
Zonglin Yang, Tatsuya Akiyama, Kerry S. Williamson, Michael J. Franklin, Thiruvarangan Ramaraj
2) Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
3) Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
4) Vision Based People Tracking System
Boukerch Haroun, Luo Qing Sheng, Li Hua Shi, Boukraa Sebti
5) Online Pose Estimation and Tracking Approach with Siamese Region Proposal Network
Cheng Fang, Lingwei Quan, Cunyue Lu
6) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao
7) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
8) A Motion Dictionary to Real-Time Recognition of Sign Language Alphabet Using Dynamic Time Warping and Artificial Neural Network
Marcio Leal, Marta Villamil
9) Detecting Tomato Flowers in Greenhouses Using Computer Vision
Dor Oppenheim, Yael Edan, Guy Shani
10) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine Vision
M. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari
11) Digital Geomatics Trends for Production and Updating Topographic Map by Using Digital Generalization Procedures
O. Z. Jasim
12) Spectrum of Dry Eye Disease in Computer Users of Manipur India
Somorjeet Sharma Shamurailatpam, Rabindra Das, A. Suchitra Devi
13) The Use of Computer-Aided Design in Small Contractors in a Local Area of Korea
Myunghoun Jang
14) Impact of Ownership Structure on Provision of Staff and Infrastructure for Implementing Computer Aided Design Curriculum in Universities in South-East Nigeria
Kelechi E. Ezeji
15) GPU-Accelerated Triangle Mesh Simplification Using Parallel Vertex Removal
Thomas Odaker, Dieter Kranzlmueller, Jens Volkert

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