Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

This internship proposes to create a support vector machine based classifier which classifies image aesthetics, ranking images from 1-7. An existing classifier has been developed which classifies professional quality photographs. To be of use to Vidigami, the classification method needs to be developed which can provide an aesthetics score for average quality photographs. Individuals taking […]

Vidigami, the sponsor company, is developing tools to create digital yearbooks for schools – organizing personal photo collections of students, parents, and staff. Current technologies have made it easy for everybody to have a digital camera or simply digitalize their hardcopy versions of their photos. However, this huge amount of data makes it hard to […]