IPI: Image Processing and Interpretation

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).

Projects

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:

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Past ICON projects

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

Past National Projects

AVCON, 2018-2019

EMDAS (Autonomous vehicles), 2015-2016

3DLicorneA, Brussels Institute for Research and Innovation, 2015-2018

ANALYST PV

IPI researches integrated sensors and data analysis fault detection tools for photovoltaic plants

ICON project, 10/2019 – 9/2022

CHARAMBA

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

COSMO

In the COSMO project, researchers are designing, developing, and evaluating effective, personalized, and scalable AR and VR technologies for support and training in manufacturing operations

ICON project, 5/2019 - 4/2021

Comp4Drones

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

EXIST

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

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

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

SONOPA

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

Vision-in-the-loop

The VIL project aims to improve print quality, reduce waste, and cut the cost of additive metal manufacturing

ICON project, 4/2020 - 3/2022

MoCCha-CT

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

Flanders AI

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

ACHIEVE

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

News

IPI currently has 3 PhD vacancies with application deadlines in January and February 2022

IPI researcher Michiel Vlaminck and partners showcase the results of the icon Analyst-PV project with a webinar and article

Ljubomir Jovanov will present at the AI4 Smart Mobility session during Trefdag Digitaal Vlaanderen on 25 November

Demonstration of a real-time monitoring system for 3D metal printing based on AI and active learning

Watch IPI researcher ​​​​​​​David Van Hamme talk about Cooperative Sensor Fusion research

Former IPI master student reached 'Leo Baekelandprijs' final with thesis 'Computer vision based detection of drafting while cycling'

Bringing pedestrian detection for autos to the next level: cooperative sensor fusion and automatic tone mapping

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