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Dr Danny Gibbins
To link to this page, please use the following URL: Biography/ BackgroundI completed a PhD in machine vision (shape from shading) in 1994 at the Flinders University of South Australia. Between 1994 and 2004 I was a research fellow at the CRC for Sensor Signal & Information Processing (CSSIP) where I worked on image and radar target classification techniques and commercial video surveillance technologies. Since 2004 I have been a Senior Research Fellow for the Department of Electrical and Electronic Engineering. Currently I teach a masters level course in Image Processing whilst continuing to work on numerous commercially focused image and range-sensor based research problems, principally in the areas of automatic target recognition (ATR) and scene analysis. Teaching InterestsImaging Sensors and Processing (ELEC ENG 7060, aka ELEC ENG 4061 IMAGE PROCESSING ) - this is a level 4 / maters level course which covers image processing and image analysis topics such as, noise reduction, deconvolution, image enhancement, line extraction, object feature descriptions, and basic image classification and tracking methods. Masters Coordinator for the Defence Signal and Information Processing (DEFSIP) program. Masters Project Coordinator for the EEE Advanced Masters Project Topics (ELEC_ENG 7076/77/78). I am also co-supervising a PhD student in shark detection from UAV imagery (jointly with UniSA). Masters/Honors level projects i have supervised (or am currently supervising) include:
Research InterestsImage and signal processing, machine vision, object recognition and classification, infra-red and radar imaging, 3D terrain analysis, LADAR (range data analysis). Much of this work is focussed on applications in autonomous systems for unmanned air vehicles (UAV's). R&D projects/areas I have been involved in include:
Click HERE for a PDF summarising some of some of my work (up to July 2009) for unmanned air vehicles (UAV's). This R&D work is sponsored by the ABSI program, DSTO Edinburgh. A recent poster presented at DASP'09 on 3D target recognition can also be found HERE
Above: A simple example of 'fast' super-resolution applied to UAV imagery of a ship.
Above: An example of terrain reconstruction based on fusion of a helicopter mounted LADAR and optical payload (April 2008).
Above: An example of terrain classification based on a fused LADAR and optical dataset (November 2008).
Above: An example of target recognition based on 3D point cloud data (July 2009) and a variant of 3D SIFT and SPIN features. Publications
my publications include:
contributions to other papers:
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