Modeling and comparing change using spatiotemporal helixes
(EN)
Παρτσινεβελος Παναγιωτης
(EL)
Peggy Agouris
(EN)
Partsinevelos Panagiotis
(EN)
Kristin Eickhorst
(EN)
Anthony Stefanidis
(EN)
Πολυτεχνείο Κρήτης
(EL)
Technical University of Crete
(EN)
Spatiotemporal helixes are a novel way to model spatiotemporal change. They represent both the movement of an object, as it is expressed by the trajectory of its center, and the changes of its outline. Accordingly they are highly suitable to communicate the evolution of phenomena as they are captured e.g. in sequences of imagery. In this paper we present the spatiotemporal helix model and introduce spatiotemporal similarity metrics for the comparison of helixes. These metrics allow us to compare the behavior of different objects over time, and express the degree of their similarity. To demonstrate the application of our models and metrics we present experimental results.
(EN)
