Projects per year
Organization profile
Organisation profile
The IRIS RESEARCH GROUP was founded in December 21, 1988. Image/video processing and machine vision always have been and remain central research activities. Our motivation is to stay ahead of the obvious R&D tendencies, which drives us towards in depth fundamental research. Our mission statement is to impact on the transformation processes of the knowledge society, which keeps us alert to continuously update our strategic R&D agenda and extend/generalize our background knowledge. We are often seeking inspiration in the unexplored engineering bottlenecks at the interface of various application domains. The specific goal of the group is FUNDAMENTAL RESEARCH, continued in Applied Research projects up to a stage where the results - when exploited - have an impact on society and/or ICT applications. - MULTIMEDIA R&D is focused on the design of various ICT modules, part of the E2E distributed and interactive system design chain: data representation, compression algorithms, transmission, forensics, visualization, computational models, complexity and power management. - In MACHINE VISION, new concepts are investigated for establishing a unified approach for various applications. The activity complements our E2E skills by providing modules for audiovisual signal analysis, motion estimation and segmentation, 3D reconstruction from motion & stereo, segmentation and classification, object tracking, ontology-based semantic scene analysis, event detection, robot navigation & sensing, 3D animation, positioning and tracking wireless devices. - In the area of TELECOMMUNICATION NETWORK CONTROL, we focus on another competence needed for E2E system design: heuristic mechanisms and Artificial Intelligence. - In MEDICAL IMAGING and e-HEALTH, we have 3 specific foci: (i) robust mathematical solution methods, bridging the gap between inverse problems and numerical analysis, (ii) image processing and analysis, (iii) human motion with particular attention for frail and elderly people. TECHNOLOGY & KNOWLEDGE TRANSFER, participation in various application value chains and collaboration with industry, public services, and hospitals. are priorities for us. Starting from the previously described fundamental research experience, the IRIS group regularly renews and extends its R&D activities towards various application domains of Information Technology. Besides medical imaging - the oldest application domain of the group, expertise is present in automotive applications, localization and tracking, mobile and fixed communication, new media, remote sensing, satellite image processing, anti-personnel mine and minefield detection, public safety and surveillance., ... Collaborative contracts are existing with different players in the value chain of these applications. A continuous effort goes towards strengthening the involvement of IRIS in collaborative contracts with industry, public services, and hospitals. We are actively searching for opportunities of industrial valorization. The group operates in the broader context of the department ETRO, ELECTRONICS AND INFORMATICS, where three main research groups are collaborating to cover a wide range of generic technologies in Micro- and Optoelectronics (LAMI), Speech & Audio Processing (DSSP) and Multidimensional signal processing and communication with emphasis on Image Processing & Machine Vision (IRIS), which cannot be dealt with separately when the real world applications of the Information Society are envisaged. The collaboration between the three participating research groups leads to integrated transdisciplinary R&D, e.g. (i) in speech/audio and image/video processing in the context of multimedia research, (ii) in the exploitation of new opto-electronic devices for applications of ambient intelligence, gaming and industrial processes, and (iii) in joint channel-source coding.
Keywords
- wireless network appllications
- embedded systems
- multiresolution image analysis
- e-Health
- security
- active vision
- mesh data representation
- medical imaging
- wireless sensor networks
- data representation
- watermarking
- image segmentation
- image transforms
- personalised health care systems
- pattern recognition
- motion estimation
- video processing
- parallel computing
- image quality assessment
- network protocols
- audiovisual signal processing
- data fusion
- multimedia
- tracking
- image processing
- wireless building automation
- machine vision
- image compression
- sensor networks
- remote sensing
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Network
Profiles
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Sebastian Amador Sanchez
- Vrije Universiteit Brussel
- Multidimensional signal processing and communication
- Electronics and Informatics - Academic, Doctoral scholarschip
- Faculty of Engineering
Person: Researcher, PhD
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VLAIM4: Innovation Mandate: Quantitative analysis of musculoskeletal motion by dynamic computed tomography
1/03/23 → 1/03/25
Project: Applied
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BRGRD67: R&D 2022: Masaai Used to Secure Complex Living Environment and Scenario.
1/01/23 → 31/12/24
Project: Policy Based
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BRGRD66: R&D 2022: Traffic prOcessing foR uRban EnvironmentS
Munteanu, A. & Yangxintong, L.
1/12/22 → 30/11/25
Project: Policy Based
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Research output
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Deep hologram converter from low-precision to middle-precision holograms
Shiomi, H., Blinder, D., Birnbaum, T., Inoue, Y., Wang, F., Ito, T., Kakue, T., Schelkens, P. & Shimobaba, T., 1 Mar 2023, In: Appl. Optics. 62, 7, p. 1723-1729 7 p.Research output: Contribution to journal › Article › peer-review
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Designing Transformer networks for sparse recovery of sequential data using deep unfolding
De Weerdt, B., Eldar, Y. C. & Deligiannis, N., 2023, (Accepted/In press) 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, p. 1-5 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Intra-arterial 4D-CT angiography with soft tissue perfusion evaluation in diabetic feet.
Boonen, P. & Aerden, D., 2023, (Accepted/In press) In: Radiology.Research output: Contribution to journal › Article › peer-review
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JPEG Pleno Holography presents the numerical reconstruction software for holograms: An excursion in holographic views
Birnbaum, T., Kizhakkumkara Muhamad, R., Perra, C., Gilles, A., Blinder, D., Kozacki, T. & Schelkens, P., 24 Feb 2023, (Accepted/In press) In: Appl. Optics.Research output: Contribution to journal › Article › peer-review
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Kinematic analysis of bony joint structures from dynamic computed tomography images: 4D CT for musculoskeletal applications
Keelson, B., 2023, 183 p.Research output: Thesis › PhD Thesis
Open AccessFile
Activities
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Kinematic analysis of bony joint structures from dynamic computed tomography images (Event)
Aldo Scafoglieri (Jury), Benyameen Keelson (Presenter), Jef Vandemeulebroucke (Supervisor), Nico Buls (Supervisor), Gert Van Gompel (Supervisor), Eva Swinnen (Jury), Tom Verstraten (Jury), Lode Goethals (Chair), Evie Vereecke (Jury) & Hilde Bosmans (Jury)
7 Feb 2023Activity: Membership › Member of PhD committee
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C vs Rust: Performance Evaluation of Bubble Sort
Thibaut Vandervelden (Speaker)
3 Feb 2022Activity: Talk or presentation › Talk or presentation at a workshop/seminar
File -
30th European Signal Processing Conference (Event)
Boris Joukovsky (Peer reviewer)
22 Apr 2022Activity: Publication peer-review and editorial work › Publication peer-review
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Belgium Rust User Group February 3 2022
Ruben De Smet (Organiser), Tom Godden (Participant) & Thibaut Vandervelden (Participant)
3 Feb 2022Activity: Participating in or organising an event › Participation in workshop, seminar
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2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (Event)
Boris Joukovsky (Peer reviewer)
22 Dec 2022Activity: Publication peer-review and editorial work › Publication peer-review
Datasets
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reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding
Joukovsky, B. (Creator), Luong, V. H. (Creator) & Deligiannis, N. (Creator), Zenodo, 2021
Dataset
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AMIVU Acoustic Map Imaging VUB-ULB Dataset
Almasri, F. (Creator), Vandendriessche, J. (Creator), Segers, L. (Creator), da Silva Gomes, B. T. (Creator), Braeken, A. (Supervisor), Steenhaut, K. (Supervisor), Touhafi, A. (Supervisor) & Debeir, O. (Supervisor), Zenodo, 16 Jan 2021
Dataset