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Projects of Attila Tanács
 The goal of our project is to develop new algorithms that exploit the imaging and connectivity capabilities of modern mobil devices (smartphones and tablets) and provide new visual information contents for the users.
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 We consider the problem of planar shape registration on binary images. Our primary goal is to investigate novel methodologies which work without feature point extraction and established correspondences; avoid the solution of complex optimization problems; and provide an exact solution regardless of the strength of the distortion. The newly developed techniques are validated on medical images.
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 Our automatic registration method was tailored to the needs of a model-based segmentation framework of the pelvic area in CT studies in collaboration with GE Medical Systems. Registration was used as a preprocesing task. The goal of it was the acceptable alignment of the pubic bone area (where the two organs of interest, the prostate and bladder are located) of studies from different patients.
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 Helicopter rotor blades were tested by combined neutron and X-ray radiography. Due to the large size of the rotor blades, several images had to be taken and put together to compose one big image. We developed an interactive solution based on artificial markers.
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 We developed a unified framework for percutaneous therapies utilizing localization frames and implemented an application using CT imaging and a robot.
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 An automatic registration method utilizing mutual information and its various medical and neutron tomography applications.
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 We investigated registration methods based on interactively identified point pairs used in medical image registration. We proposed an affine search method and gave a sufficient existence condition for the unique solution. The properties of rigid-body and affine methods were examined via numerical simulations.
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