Excellence in Research and Innovation for Humanity

ICMVA 2017 : 19th International Conference on Machine Vision and Applications

Dubai, UAE
September 25 - 26, 2017

Conference Code: 17AE09ICMVA

Conference Aims and Objectives

The ICMVA 2017: 19th International Conference on Machine Vision and Applications aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Vision and Applications. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Machine Vision and Applications.

Call for Contributions

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Vision and Applications are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET

Federated Conference

Federated conference series is an event that brings together significant number of recurring events; academic conferences, symposia, workshops, special sessions, and plenary talks in the field of science and technology since inception in 1999. Each event may run over any span of time within the conference days.

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI), Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk. Impact Factor Indicators.

Special Journal Issues

ICMVA 2017 has teamed up with the Special Journal Issue on Machine Vision and Applications. 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   July 31, 2017
Notification of Acceptance/Rejection   August 14, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   August 25, 2017
Conference Dates   September 25 - 26, 2017

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) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
2) Automated User Story Driven Approach for Web-Based Functional Testing
Mahawish Masud, Muhammad Iqbal, M. U. Khan, Farooque Azam
3) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
4) Detecting Tomato Flowers in Greenhouses Using Computer Vision
Dor Oppenheim, Yael Edan, Guy Shani
5) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine Vision
M. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari
6) Multi-Level Meta-Modeling for Enabling Dynamic Subtyping for Industrial Automation
Zoltan Theisz, Gergely Mezei
7) Control Strategies for a Robot for Interaction with Children with Autism Spectrum Disorder
Vinicius Binotte, Guilherme Baldo, Christiane Goulart, Carlos Valadão, Eliete Caldeira, Teodiano Bastos
8) Creating a Virtual Perception for Upper Limb Rehabilitation
Nina Robson, Kenneth John Faller II, Vishalkumar Ahir, Arthur Ricardo Deps Miguel Ferreira, John Buchanan, Amarnath Banerjee
9) Behavioral Experiments of Small Societies in Social Media: Facebook Expressions of Anchored Relationships
Nuran Öze
10) MAGNI Dynamics: A Vision-Based Kinematic and Dynamic Upper-Limb Model for Intelligent Robotic Rehabilitation
Alexandros Lioulemes, Michail Theofanidis, Varun Kanal, Konstantinos Tsiakas, Maher Abujelala, Chris Collander, William B. Townsend, Angie Boisselle, Fillia Makedon
11) Distributed Automation System Based Remote Monitoring of Power Quality Disturbance on LV Network
Emmanuel D. Buedi, K. O. Boateng, Griffith S. Klogo
12) RoboWeedSupport-Semi-Automated Unmanned Aerial System for Cost Efficient High Resolution in Sub-Millimeter Scale Acquisition of Weed Images
Simon L. Madsen, Mads Dyrmann, Morten S. Laursen, Rasmus N. Jørgensen
13) Computer Aided Assembly Attributes Retrieval Methods for Automated Assembly Sequence Generation
M. V. A. Raju Bahubalendruni, Bibhuti Bhusan Biswal, B. B. V. L. Deepak
14) Perceptions toward Adopting Virtual Reality as a Learning Aid in Information Technology
S. Alfalah, J. Falah, T. Alfalah, M. Elfalah, O. Falah
15) Optimizing Machine Vision System Setup Accuracy by Six-Sigma DMAIC Approach
Joseph C. Chen

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