This work, entitled Data Analytics and Methods for Improved Feature Selection and Matching, was submitted in June 2012 by Michael May to The University of Manchester for the degree of Doctor of Philosophy.This work focuses on analysing and improving feature detection and matching. After creating an initial framework of study, four main areas of wor...
In spite of more than 100 years of research, the mechanisms underlying visual masking are still unknown. In recent publications, we introduced an unmasking paradigm involving the fusion of features that revealed interesting spatial characteristics. Here, we investigate the temporal aspects of this paradigm showing very long lasting effects that imp...
Supervised statistical learning has become a critical means to design and learn visual concepts (e.g., faces, foliage, buildings, etc.) in content-based indexing systems. The drawback of this approach is the need of manual labeling of regions. While several automatic image annotation methods proposed recently are very promising, they usually rely o...