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.