Open Science Research Excellence

ICCVICG 2020 : International Conference on Computer Vision, Imaging and Computer Graphics

Zurich, Switzerland
January 13 - 14, 2020

Conference Code: 20CH01ICCVICG

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

ICCVICG 2020 has teamed up with the Special Journal Issue on Computer Vision, Imaging and Computer Graphics. 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   August 29, 2019
Notification of Acceptance/Rejection   September 10, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 14, 2019
Conference Dates   January 13 - 14, 2020

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) Algorithm for Path Recognition in-between Tree Rows for Agricultural Wheeled-Mobile Robots
Anderson Rocha, Pedro Miguel de Figueiredo Dinis Oliveira Gaspar
2) 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
3) Visualizing Imaging Pathways after Anatomy-Specific Follow-Up Imaging Recommendations
Thusitha Mabotuwana, Christopher S. Hall
4) A Generalized Sparse Bayesian Learning Algorithm for Near-Field Synthetic Aperture Radar Imaging: By Exploiting Impropriety and Noncircularity
Pan Long, Bi Dongjie, Li Xifeng, Xie Yongle
5) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
6) A Remote Sensing Approach to Calculate Population Using Roads Network Data in Lebanon
Kamel Allaw, Jocelyne Adjizian Gerard, Makram Chehayeb, Nada Badaro Saliba
7) Accuracy of Autonomy Navigation of Unmanned Aircraft Systems through Imagery
Sidney A. Lima, Hermann J. H. Kux, Elcio H. Shiguemori
8) Cost Effective Real-Time Image Processing Based Optical Mark Reader
Amit Kumar, Himanshu Singal, Arnav Bhavsar
9) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
10) Procedure to Use Quantitative Bone-Specific SPECT/CT in North Karelia Central Hospital
L. Korpinen, P. Taskinen, P. Rautio
11) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
12) Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features
Nadia Masood Khan, Muhammad Salman Khan, Gul Muhammad Khan
13) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao
14) Replicating Brain’s Resting State Functional Connectivity Network Using a Multi-Factor Hub-Based Model
B. L. Ho, L. Shi, D. F. Wang, V. C. T. Mok
15) X-Ray Fluorescence Molecular Imaging with Improved Sensitivity for Biomedical Applications
Guohua Cao, Xu Dong

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