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This paper presents a framework to reconstruct a scenecaptured in multiple camera views based on a prior modelof the scene geometry. The framework is applied to thecapture of animated models of people. A multiple camerastudio is used to simultaneously capture a moving personfrom multiple viewpoints. A humanoid computer graphicsmodel is animated to match the pose at each time frame.Constrained optimisation is then used to recover the multipleview correspondence from silhouette, stereo and featurecues, updating the geometry and appearance of the model.The key contribution of this paper is a model-based computervision framework for the reconstruction of shape andappearance from multiple views. This is compared to currentmodel-free approaches for multiple view scene capture.The technique demonstrates improved scene reconstructionin the presence of visual ambiguities and providesthe means to capture a dynamic scene with a consistentmodel that is instrumented with an animation structure toedit the scene dynamics or to synthesise new content.