Welcome to IPI, the Image Processing and Interpretation Research Group of the department TELIN of the Faculty of Faculty of Engineering and Architecture at Ghent University (Universiteit Gent).
IPI researchers conduct state of the art research in the field of digital image and video processing for a wide range of applications. Our research covers computer vision, sensor fusion, remote sensing, image reconstruction and enhancement, 3D image and video enhancement and synthetic view generation, and several other related areas. We apply our technology to applications such as autonomous vehicles, drone and intelligent surveillance, agricultural and industrial inspection, (bio)medical imaging, consumer multimedia, and art.
Our group currently counts more than 40 researchers. You can find the full list of our team here. Our senior members are:
IPI is a core research group of imec.
Several of our members are associated with the UAV Research Center. IPI is the leader of the Intelligent Information Processing valorisation consortium I-KNOW and participates in the Hybrid Computed Tomography valorization consortium HyCT.
IPI actively engages in collaborative research with other institutes and companies in the context of National and European projects. We are currently active in the following collaborative projects:.js-id-running
iPlay: Interactive sports platform for comprehensive, 3D monitoring of athletes, 2017-2019
ARIA: Augmented Reality for Industrial Maintenance Procedures, 2016-2018
BAHAMAS: A toolset for the processing, compression and analysis of big data in life and materials science applications, 2015-2016
HD2R: Creating Images with Higher Dynamic Range and Richer Colors for Cinemas and Living Rooms, 2015-2017
wE-MOVE: Games to improve children’s rehabilitation and fitness level, 2015-2016
GIPA: Laying the foundation for a generic, state-of-the-art augmented reality (AR) platform, 2014-2015
FIAT: Unlocking the potential of ‘functional imaging’ to quantify tumor response to treatment earlier and more accurately, 2014-2015
EMDAS (Autonomous vehicles), 2015-2016
3DLicorneA, Brussels Institute for Research and Innovation, 2015-2018
CHARAMBA aims to solve the problem of costly and labour-intensive sampling and chemical analysis of complex material/waste streams
EIT RawMaterials, 1/2020 - 12/2021
Framework of Key Enabling Technologies for Safe and Autonomous Drones
IPI contributes to a novel framework of key enabling technologies for safe and autonomous drones. We focus on hyperspectral imaging from manually flown drones for inspection of offshore turbines structure to detect imperfections, such as corrosion deterioration of paint.
ECSEL JU, 10/2019 – 9/2022
Demand for image sensors in automobiles, the Internet of Things, medicine or security and surveillance applications is challenging businesses to improve the performance of their integrated systems. EXIST is developing breakthrough image sensors that will expand the functionality of future vision systems.
ECSEL JU, 5/2015 - 12/2018
NextPerception aims to develop next generation smart perception sensors and enhance the distributed intelligence paradigm to build versatile, secure, reliable, and proactive human monitoring solutions for the health, wellbeing, and automotive domains
IPI investigates cooperative sensor fusion in support of safety and comfort at road intersections especially for vulnerable road users such as pedestrians and bikers
ECSEL JU, 5/2020 – 4/2023
PANORAMA will deliver solutions for applications in medical imaging, broadcasting systems and security & surveillance, all of which face similar challenging issues in the real time handling and processing of large volumes of image data.
ENIAC JU, 4/2012 - 12/2015
The SONOPA project - SOcial Networks for Older adults to Promote an Active Life - employs technologies to develop an end-to-end solution for stimulating and supporting activities at home.
EU, 5/2013 - 4/2016
This project develops tools for X-ray imaging of dynamic processes in materials, with the goal of helping materials scientists to develop better and more sustainable materials.
IPI's focus is on developing algorithms capable of handling large 3D datasets including research on GPU processing, (ROI) CT reconstruction, and efficient optimization algorithms with the emphasis on huge amounts of data.
FWO-SBO, 1/2018 – 12/2022
Groundbreaking artificial intelligence research enabling a meaningful impact on people, industry and society. IPI researches real-time and power-efficient AI in the edge for various applications.
National project (Flemish EWI), 7/2019 – 6/2022
Researchers in ACHIEVE are designing highly integrated hardware-software components for the implementation of ultra-efficient embedded vision systems as the basis for innovative distributed vision applications
For IPI, the first goal of this project is to design algorithms for distributed multiple targets tracking through a decentralized approach. The second goal is to improve object detection and tracking using a multi-sensor approach. Thermal cameras have promising potential in surveillance applications, especially when combined with optical cameras. The third goal of the project is to provide solutions for behaviour analysis and action recognition. The research will use high-level analysis to automatically determine which cameras observe the same or similar action, such as pedestrians waiting to cross the street. Deep learning is a promising approach.
H2020-MSCA-ITN, 10/2017 – 9/2021