Face bubble: photo browsing by faces

Face recognition technology presents an opportunity in computer automation to help people better organize their personal photo collections. However, the robustness of the technology needs to improve and how users interact with face clusters needs to go beyond the traditional file folder metaphor. We designed a visualization called face bubble that supports both fast one-glance view and filtering and exploration of photo collections based on face clustering results. Our clustering algorithm provides a better accuracy rate than previous work and our circular space filling visual design offers an alternative UI based on the traditional weighted list view. Other visualization techniques such as a fisheye view are also integrated into the interface for fast image browsing. Finally, fine tuning of the design based on user feedback improved the aesthetics of the visualization.