Martin Čadík

Visual Geo-Localization and Camera Pose Estimation for Computational Photography

Current digital cameras do not only capture light, they in fact compute pictures. In this talk I will introduce the field of computational photography, which evolved from computer graphics, image processing, computer vision, and optics to extend the capabilities of photography and display technology. Then, I will focus on our recent work on automatic visual image geo-localization and camera pose estimation for computational photography applications. Our aim is to accurately find the location and orientation of the camera which captured the photograph. We introduce a system for automatic alignment of the query photo with a geo-referenced 3D terrain model. Sufficiently accurate match between a photograph and a 3D model offers new possibilities for image enhancement. Furthermore, it can be used to transform photographs into a realistic virtual 3D experience, e.g. to automatically highlight elements in the image, such as the travel path taken, names of mountains, or other landmarks. The synthetic depth map, and/or the whole 3D model of the queried photo, can be used for novel view synthesis, image relighting, dehazing or refocusing.

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Martin Čadík is an associate professor at Brno University of Technology (Czech Republic) where he heads the computational photography research group – CPhoto@FIT. His fields of competence cover computer vision, computer graphics, human perception and image processing. His current research interests are on computational photography, visual geo-localization, camera pose estimation, and image quality assessment. Martin Čadík obtained a PhD in computer science from the Czech Technical University in Prague in 2008. He worked as a post-doc research fellow at Max-Planck Institute for Informatics in Saarbrücken (Germany) from 2009 to 2013. Martin Čadík joined the Brno University of Technology in 2013.

Martin IlčíkMartin Čadík