| 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, Polanddrone landing, UAV, FPGA, Zynq SoC, embedded vision system In this paper we present a vision based hardware-software control system enabling the autonomous landing of a multirotor unmanned aerial vehicle (UAV). It allows for the detection of a marked landing pad in real-time for a 1280x720 @ 60 fps video stream. In addition, a LiDAR sensor is used to measure the altitude above ground. A heterogeneous Zynq SoC device is used as the computing platform. The solution was tested on a number of sequences and the landing pad was detected with 96% accuracy. This research shows that a reprogrammable heterogeneous computing system is a good solution for UAVs because it enables real-time data stream processing with relatively low energy consumption.
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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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