Open Science Research Excellence

ICCGIP 2021 : International Conference on Computer Graphics and Image Processing

Singapore, SG
May 3 - 4, 2021

Conference Code: 21SG05ICCGIP

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

ICCGIP 2021 has teamed up with the Special Journal Issue on Computer Graphics and Image Processing. 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   March 16, 2021
Notification of Acceptance/Rejection   April 1, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 2, 2021
Conference Dates   May 3 - 4, 2021

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) Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
Ismail Abubakar, Hamid Mehrabi, Reg Morton
5) Deep Learning Application for Object Image Recognition and Robot Automatic Grasping
Shiuh-Jer Huang, Chen-Zon Yan, C. K. Huang, Chun-Chien Ting
6) Algorithm for Path Recognition in-between Tree Rows for Agricultural Wheeled-Mobile Robots
Anderson Rocha, Pedro Miguel de Figueiredo Dinis Oliveira Gaspar
7) The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body
J. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi
8) Vision Based People Tracking System
Boukerch Haroun, Luo Qing Sheng, Li Hua Shi, Boukraa Sebti
9) Online Pose Estimation and Tracking Approach with Siamese Region Proposal Network
Cheng Fang, Lingwei Quan, Cunyue Lu
10) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
11) Cost Effective Real-Time Image Processing Based Optical Mark Reader
Amit Kumar, Himanshu Singal, Arnav Bhavsar
12) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
13) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao
14) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
15) Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features
Nadia Masood Khan, Muhammad Salman Khan, Gul Muhammad Khan

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