2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
Terrance E. Boult , University of Colorado at Colorado Springs 1420 Austin Bluffs Pkwy, USA
Michael Eckmann , Skidmore College 815 N. Broadway, Saratoga Springs, NY, USA
In this work, we define two new and important qualities of features which expand upon the usual local feature information. Spatio-Temporal consistency is a quality of a feature that quantifies how consistently a feature has been tracked in prior frames and how smooth its motion was over prior frames. Distributivity is a quality of a feature that quantifies physical distance (in number of pixels) from other features in the same frame.
Terrance E. Boult, Michael Eckmann, "Spatio-temporal consistency and distributivity as qualities of features", 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 00, no. , pp. 1-8, 2008, doi:10.1109/CVPRW.2008.4563137