What is the current state-of-the art for image restoration and enhancement applied to images acquired under less than ideal circumstances?
Can the application of enhancement algorithms as a pre-processing step improve image interpretability for manual analysis or automatic visual recognition to classify scene content?
The UG2 Challenge seeks to answer these important questions for general applications related to computational photography and scene understanding. As a well-defined case study, the challenge aims to advance the analysis of images collected by small UAVs by improving image restoration and enhancement algorithm performance using the UG2 Dataset
Awarded in prizes
Image Enhancement to Facilitate Manual InspectionEvaluation of the qualitative enhancement of images from the UG2 dataset.
Image Enhancement to Improve Automatic Object RecognitionEvaluation of the quantitative enhancement of images from the UG2 dataset.
Dr. Taylor's research interests lie primarily in the fields of Computer Vision and Robotics and include: reconstruction of 3D models from images, vision-guided robot navigation and smart camera networks.
Dr. Hoogs supervises the Kitware Computer Vision group and provides strategic direction in this area.
Dr. Boehnen is a Senior Program Manager at the Intelligence Advanced Research Projects Activity (IARPA), Office of the Director of National Intelligence.
January 31 - April 1, 2018
April 15, 2018
May 15, 2018
June 18, 2018
Dr. Scheirer's research is primarily focused around the problem of recognition, including the representations and algorithms supporting solutions to it.