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Perception-based illumination information measurement and light source placement
Vázquez Alcocer, Pere Pau; Sbert Cassasayas, Mateu
Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. MOVING - Grup de Recerca en Modelatge, Interacció i Visualització en Realitat Virtual
The automatic selection of good viewing parameters is very complex. In most cases, the notion of good strongly depends on the concrete application. Moreover, when an intuitive definition of good view is available, it is often difficult to establish a measure that brings it to the practice. Commonly, two kind of viewing parameters must be set: the position and orientation of the camera, and the ones relative to light sources. The first ones will determine how much of the geometry can be captured and the latter will influence on how much of it is revealed (i. e. illuminated) to the user. In this paper we will define a metric to calculate the amount of information relative to an object that is communicated to the user given a fixed camera position. This measure is based on an information-based concept, the Shannon entropy, and will be applied to the problem of automatic selection of light positions in order to adequately illuminate an object.
Àrees temàtiques de la UPC::Informàtica::Infografia
Three-dimensional imaging
Cameras
Computer vision
Data visualisation
Light sources
Lighting
Maximum entropy methods
Infografia tridimensional
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
         

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