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 14.09, Monday
Day 1 | 
print all | print one day | hide day details | | 09:00-09:20 | Opening of the Conference
by
Prof. Micha³ Zasada, Rector of the Warsaw University of Life Sciences – SGGW,
Prof. Arkadiusz Or³owski, Head of the Institute of Information Technology, SGGW,
Prof. Leszek Chmielewski, Chairman of ICCVG 2020, President of the Association for Image Processing – TPO,
Prof. Ryszard Kozera, Chairman of ICCVG 2020 | | 09:20-10:10 | Gereral Lecture 1
Chair: Arkadiusz Or³owski | | 10:10-10:20 | Coffee break | | 10:20-11:20 | Session I. Applications in sports
Chair: Maciej Orkisz | | 11:20-13:00 | Lunch break | | 13:00-14:20 | Session II. Human head and other beautiful objects
Chair: Leszek Chmielewski
1 Dynamic Local Ternary Patterns for Gender Identification using Facial Components
Salma M. Mohammed, Serestina Viriri | 
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2 Facial Age Estimation Using Compact Facial Features
Joseph Damilola AKINYEMI, Olufade Falade Williams ONIFADE, Department of Computer Science, University of Ibadan, Ibadan, Nigeria |
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3 Exploration of Ear Biometerics with Deep Learning
Aimee Booysens, Serestina Viriri Ear Recognition, Deep Learning Ear recognition has become a vital issue in image processing to identification and analysis for many geometric applications. This article reviews the source of ear modelling, details the algorithms, methods and processing steps and finally tracks the error and limitations for the input database for the final results obtain for ear identification. The standard datasets used consists of at least 2997 images. The commonly used machine-learning techniques used were Naive Bayes, Decision Tree and K-Nearest Neighbor, which then compared to the classification technique of Deep Learning using Convolution Neural Networks. The results achieved in this article by the Deep Learning using Convolution Neural Network was 92.00% average ear identification rate for both left and right ear. |
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4 Biologically Inspired Modelling of Flowers
Krzysztof Najda, £ukasz D±ba³a, Warsaw University of Technology |
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| | Afternoon | Normally, we would organize a trip of Warsaw in the afternoon. This time it is physically impossible. Fortunately, there are many trips available in the internet. Let us name a few.
First impressions – Warsaw, Poland.
An important piece of the history of Warsaw, and also some impressions from £ód¼ – another beautiful city in Poland.
We can also close the day with real art – Chopin concert in £azienki Royal Garden. |
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15.09, Tuesday
Day 2 |
print all | print one day | hide day details | | 09:00-09:50 | General Lecture II
Chair: Arkadiusz Or³owski | | 09:50-10:00 | Coffee break | | 10:00-11:20 | Session III. Biomedical applications
Chair: Joanna Jaworek-Korjakowska
1 Software for CT-image analysis to assist the choice of mechanical-ventilation settings in acute respiratory distress syndrome
Eduardo E. Dįvila Serrano CNRS, Franēois Dhelft Univ. Lyon 1 - Hospices Civils de Lyon, Laurent Bitker Univ. Lyon 1 - Hospices Civils de Lyon, Jean-Christophe Richard Univ. Lyon 1 - Hospices Civils de Lyon, Maciej Orkisz Univ. Lyon 1, CREATIS, France |
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2 Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach
Mustapha Oloko-Oba, Serestina Viriri |
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3 On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers - A Simulation Study
Jakub Jurek, Lars A. Reisæter, Marek Kociński, Andrzej Materka |
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4 Nuclei detection with local threshold processing in DAB&H stained breast cancer biopsy images
Lukasz Roszkowiak (IBIB PAN), Jakub Zak (IBIB PAN), Krzysztof Siemion (IBIB PAN), Dorota Pijanowska (IBIB PAN), Anna Korzynska (IBIB PAN) |
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| | 10:20-13:00 | Lunch break | | 13:00-14:20 | Session IV. 3D vision
Chair: Andrzej ¦luzek
1 Performance Evaluation of Selected 3D Keypoint Detector-Descriptor Combinations
Paula Stancelova, Elena Sikudova, Zuzana Cernekova |
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2 A vision based hardware-software real-time control system for the autonomous landing of an UAV
Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Marek Gorgon, AGH University of Science and Technology, Krakow, Poland |
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3 RGB-D and Lidar Calibration Supported by GPU
Artur Wilkowski, Warsaw University of Technology and Dariusz Mańkowski, United Robots |
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4 Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking
Dominika Przewlocka, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut, Tomasz Kryjak - AGH University of Science and Technology, Krakow, Poland |
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