Viewpoint selection using viewpoint entropy
Tipo de documentoTexto en actas de congreso
Fecha de publicación2001
Condiciones de accesoAcceso restringido por política de la editorial
Computation of good viewpoints is important in several fields: computational geometry, visual servoing, robot motion, graph drawing, etc. In addition, selection of good views is rapidly becoming a key issue in computer graphics due to the new techniques of Image Based Rendering. Although there is no consensus about what a good view means in Computer Graphics, the quality of a viewpoint is intuitively related to how much information it gives us about a scene. In this paper we use the theoretical basis provided by Information Theory to define a new measure, viewpoint entropy, that allows us to compute good viewing positions automatically. We also show how it can be used to select a set of N good views of a scene for scene understanding. Finally, we design an algorithm that uses this measure to explore automatically objects or scenes.
CitaciónVázquez, P. [et al.]. Viewpoint selection using viewpoint entropy. A: International Fall Workshop on Vision, Modeling, and Visualization. "6th International Fall Workshop on Vision, Modeling, and Visualization". Stuttgart: 2001, p. 273-280.
Versión del editorhttp://www.vis.uni-stuttgart.de/vmv01/dl/