Viewpoint Selection using Viewpoint Entropy

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.

• Type: Conference
• Year: 2001
• Where: VMV
• Authors: Pere-Pau Vázquez, Miquel Feixas, Mateu Sbert, Wolfgang Heidrich
• Keywords: Computer Graphics, Viewpoint, Visual Servoing, VMV 2001, VMV 2008