Our research activities focus on HDR image and video processing, image and video quality assessment, computational aesthetics, image registration, and human visual perception. We offer several courses on computational photography and advanced image processing.
Computational Photography Group (CPhoto@FIT)
- IndustryAviation & Space, Creative, Gaming & Entertainment, Defense & Security, Education, Energy, Renewables & Utilities, Environment, Waste Management & Circular Economy, Manufacturing, Transportation, Mobility & Logistics
- InstitutionBrno University of Technology
- Faculty / InstituteFaculty of Information Technology
- Research typeApplied, Basic, Experimental
- Research areaData Science, Explainable & Trustworthy AI, Foundation Model Pretraining & Development, Generative AI, Intelligent Robotics, Interdisciplinary, Machine Learning, Computer Vision & Video Analytics, Multimodal AI, Neural Graphics, Reinforcement Learning
computational photography, visual localization, vision based localization, image geolocation, visual odometry, geo-localization, geo-tagging, image to model registration, Terrain-Aided Navigation (TAN), Terrain Referenced Navigation (TRN), vision based navigation, correlating measured terrain with digital terrain model, 3D alignment, re-photography, cross-domain registration, extrinsic calibration, 6 dof, photograph peak tagging, automatic geo-registration, camera pose estimation, place recognition, HDR image processing, visual perception, computer graphics, computer vision
- ContactMartin Čadík
- Emailcadik@fit.vut.cz
- Websitehttps://cphoto.fit.vutbr.cz/
- AddressBožetěchova 2, 612 66 Brno