Seminar: Region-based 2D and 3D image registration

Seminar:Region-based 2D and 3D image registration,  Zoltan Kato , researcher, University of Szeged, Hungary.

August 18th, 2014 at 11:00 in Everest

Abstract: In this talk, I will present a novel framework developed in our lab for aligning a known shape and its distorted observation. The classical way to solve this registration problem is to find correspondences between the shapes and then compute the transformation parameters from these landmarks. The proposed framework avoids the correspondence problem and works directly with segmented regions, where the exact transformation is obtained as the solution of a polynomial system of equations. The method has been successfully applied to 2D and 3D multimodal medical image registration, industrial inspection, planar homography estimation, Lidar-projective and Lidar-omnidirectional camera calibration and fusion, etc. Its robustness has also been demonstrated. The advantage of the proposed solution is that it is fast, easy to implement, has linear time complexity, works without established correspondences and provides an exact solution regardless of the magnitude of transformation. 

4th Lisbon Machine Learning School, July 22-29

Publication: Semantic Representation of Evidence-based Clinical Guidelines

Authors: Zhisheng Huang, Salah Ait-Mokhtar, Frank Van Harmelen, Annette Ten Teije

Uncertainty in Artificial Intelligence UAI2014, July 23-27,Quebec, Canada.

This conference will be located closely with the AAAI 2014  and CogSci 2014 conferences.