The CIPA (Computer Vision, Image Processing and Analysis) cluster is comprised of researchers in DCU (primarily the Vision Systems Group (VSG), a key university recognised research group) along with a wide range of Industrial and Biomedical partners. CIPA acts as the focus for Image Processing & Quantitative Image Analysis research in DCU.
The Vision Systems Group (VSG) was formed in 1990 by Prof. Paul Whelan, as a forum to co-ordinate and support the promotion of computer and machine vision research in DCU. In 1999 Prof. Whelan formed the Medical Imaging and Visualization Laboratory as a focus for medical imaging research within DCU. The Vision Systems Group currently consists of a core team working on computer vision (specifically image segmentation), medical imaging (specifically computer aided detection / diagnosis) and their associated visualization projects. In addition to the VSG team we have 5 adjunct faculty members based in the Mater hospital and RCSI. VSG was also a founding member of Irish Pattern Recognition and Classification Society (IPRCS).
The VSG was a founding member RINCE - an Irish national research institute focussed on innovation in engineering (a €10.4 million HEA-PRTLI I initiative). It was also founding member of the NBIP - National Biophotonics & Imaging Platform(a €30 million HEA-PRTLI IV initiative) and the recently funded (PRTLI V, €23.8 million) Nano-Bioanalytical Research Facility. CIPA is a member of the DOCTRID (Daughters of Charity – Technology, Research into Disability) Research Institute (RI) and a host institution for the Marie Curie ASSISTID EU COFUND focusing on research is into Assistive Technologies for people with Autism and Intellectual Disabilities.
Our digital and non-digital IPA research programmes relate to issues involved in the acquisition (custom sensor design), processing, quantitative analysis, classification, visualization and systems engineering (integration) for a wide range of computer vision applications. Specifically the cluster focuses on the issues involved in the automation or semi automation of image feature segmentation, and its associated quantitative analysis, at both a micro and macro level.
The core expertise provided by the VSG is in its ability to develop and design novel computer based solutions that will allow the automatic extraction of key image features [specifically from 2D, video, 3D and 4D data sources] with a view to a robust and reliable quantitative analysis, classification or tracking of key information/data within the scene.
We also runs a wide ranging Education & Outreach programmes covering undergraduate & graduate education along with undergraduate internships and outreach into second level education. Download our summary.
Prof. Paul F Whelan, May 2015