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Location Dependent Illumination Modeling for Multiple-Camera-based 3D Object Reconstruction

We propose a method for modeling ununiform illumination conditions using multiple-camera-based marker observations. In computer graphics applications, multiple-camera-based object reconstruction is becoming popular for modeling 3D objects. However, geometrical and photo-metrical calibrations among multiple cameras still require high computational cost. We employ multiple observations of a spherical marker in a sequence for modeling illuminations. These data are also used for calibrating camera geometries based on a bundled adjustment method to minimize re-projection errors. The illumination condition is modeled as a set of luminance patterns on the virtual planes surrounding the target observation area. An illumination model at an arbitrary position in the scene can be constructed by interpolating the luminance behavior of surrounding planes. Experimental results show the effectiveness of our proposed method.