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Trinity College Dublin

Personal Information
College Photo Name Corrigan, David
Main Department Electronic & Elect. Engineering
College Title Assistant Professor
College Tel +353 1 896 1594
Awards and Honours
Award Date
Awarded Gold Medal for grade of 80% in final year BA/BAI exams. Also jointly awarded and jointly awarded the Clark memorial and Wright prizes for the highest aggregate score in Computer and Electronic Engineering Stream. November 2003
Elected Scholar at Trinity College Dublin. May 2001
Description of Research Interests
Thesis: My thesis was primarily concerned with the impact of motion estimation failures on the performance of digital restoration processes, specifically missing data treatment and tear removal. Image & Video Restoration: My work in restoration has focused on Film Tear Restoration and Robust Missing Data Detection in Archived Media. I have also worked on noise detection and estimation. 3D-Stereoscopic Image & Video Processing: I worked for some time on the EI funded HIROP project and designed a prototype to measure the surface roughness of a grinding wheel by constructing a 3D model of a grinding wheel. As part of the SFI funded CAMP project, I was involved in the construction of 3D-Stereoscopic databases for post-production research as well as surface anatomy training videos for medical students and artists. Currently, I am working algorithms to restore image burnout in 3d-stereo video sequences. My current research interests are in depth perception in virtual depth perception in stereo-3D environments. Image Processing for Seabed Analysis: I have been involved with the supervision of a student involved in developing image processing techniques for seabed videos. Applications have focused on image restoration to improve the video quality as well as image analysis applications to aid surveys of Nephrop populations. Image Processing for Microscopy: I have supervised students working on image processing applications for microscopy. This has included work on segmentation and shape modelling of cells, cell nuclei and neuron synapses as well as looking at image restoration techniques for high resolution imaging on the Atomic Force Microscope. Video Object Segmentation: I developed a method for segmenting foreground objects from a video using a joint likelihood model based on observations of colour statistics and object motion. Other Research: I have also working on an algorithm to generate mosaics from MPEG-streams of sports events . These mosaics were designed as a means to allow summarisation of sports events for efficient transmission over low bit-rate networks. I have also investigated the use of the complex wavelet transform for non-parametric texture synthesis.
Publications and Other Research Outputs
Peer Reviewed
D. Corrigan , S. Robinson and A. Kokaram, Video Matting Using Motion Extended GrabCut. , IET European Conference on Visual Media Production (CVMP), London, UK., IEEE, 2008, pp1-9
TARA - Full Text  URL
David Corrigan, Naomi Harte, Anil Kokaram, Pathological Motion Detection for Robust Missing Data Treatment, EURASIP Journal on Advances in Signal Processing, 2008, 2008, pArticle ID 542436
Corrigan, David; Harte, Naomi; Kokaram, Anil;, Automated Segmentation of Torn Frames using the Graph Cuts Technique, Image Processing, IEEE International Conference on Image Processing, 2007. ICIP 2007., San Antonio, TX, USA , 2007, (Sept. 16-Oct. 19), 2007, pp557-560
TARA - Full Text  DOI  URL
Corrigan, D.; Kokaram, A.; Coudray, R.; Besserer, B., Robust Global Motion Estimation From Mpeg Streamswith a Gradient Based Refinement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Toulouse, 14-19th May, 2, IEEE, 2006, ppII - II
TARA - Full Text  DOI
Non Peer Reviewed
D. Corrigan , Motion Estimation Reliability and the Digital Restoration of Archived Media, Trinity College Dublin., 2008
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Last Updated:21-SEP-2014