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MINDS is a research group that conducts research activities in computational imaging and computer vision, with a main focus on:

  • Inverse problems applied to signal and image restoration, reconstruction, analysis and processing,
  • High resolution, high framerate imaging systems,
  • Dynamic imaging,
  • Machine learning applied to image processing and analysis

Computational imaging

MINDS research activities in computational imaging are centered on medical imaging, with a main focus on ultrasound. They concern the whole image formation and interpretation process including raw data acquisition by individual sensors using conventional and non-traditional sampling schemes, beamforming, image reconstruction, processing and analysis. The main research topics in computational ultrasound cover, but are not limited to:

  • Inverse problems: signal and image restoration, resolution enhancement, beamforming, compressed sensing, tissue motion estimation, flow velocity estimation
  • Linear and non-linear ultrasound imaging
  • Various clinical applications: oncology, cardiology, gynecology

MINDS also conducts research on other imaging modalities:

  • Computed tomography applied to endodontics
  • Multi-modal (ultrasound – magnetic resonance imaging) image registration and fusion applied to gynecology.

Computer vision

MINDS research activities in computer vision benefit from a broad range of expertise in camera calibration, stereo vision and motion analysis.

The main current research topics in computer vision include:

  • Still image analysis: interactive segmentation, over-segmentation, object identification;
  • Temporal image series: change detection, re-identification;
  • Video analysis: action recognition, scene reconstruction.

Applications concern:

  • Photographic landscape observatories;
  • Security: video analysis for criminal investigation, public transportation.

MINDS also considers other applications like fish ecology and astronomical image processing.