[PDF] Rich Intrinsic Image Separation for Multi-View Outdoor Scenes


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Rich Intrinsic Image Separation for Multi-View Outdoor Scenes

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Abstract:

Intrinsic images aim at separating an image into its reectance and illumination components to facilitate further analysis or manipulation. This separation is severely ill-posed and the most successful methods rely on user indications or precise geometry to resolve the ambiguities inherent to this problem. In this paper we propose a method to estimate intrinsic images from multiple views of an outdoor scene without the need for precise geometry or involved user intervention. We use multiview stereo to automatically reconstruct a 3D point cloud of the scene.

Although this point cloud is sparse and incomplete, we show that it provides the necessary information to compute plausible sky and indirect illumination at each 3D point. We then introduce an optimization method to estimate sun visibility over the point cloud.

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