IEEE Trans Vis Comput Graph - Rich Intrinsic Image Decomposition of Outdoor Scenes from Multiple Views.

Tópicos

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Resumo

Intrinsic images aim at separating an image into its reflectance 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 and with a few manual steps to calibrate the input. 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. This algorithm compensates for the lack of accurate geometry and allows the extraction of precise shadows in the final image. We finally propagate the information computed over the sparse point cloud to every pixel in the photograph using image-guided propagation. Our propagation not only separates reflectance from illumination, but also decomposes the illumination into a sun, sky, and indirect layer. This rich decomposition allows novel image manipulations as demonstrated by our results.

Resumo Limpo

intrins imag aim separ imag reflect illumin compon facilit analysi manipul separ sever ill pose success method reli user indic precis geometri resolv ambigu inher problem paper propos method estim intrins imag multipl view outdoor scene without need precis geometri manual step calibr input use multiview stereo automat reconstruct d point cloud scene although point cloud spars incomplet show provid necessari inform comput plausibl sky indirect illumin d point introduc optim method estim sun visibl point cloud algorithm compens lack accur geometri allow extract precis shadow final imag final propag inform comput spars point cloud everi pixel photograph use imageguid propag propag separ reflect illumin also decompos illumin sun sky indirect layer rich decomposit allow novel imag manipul demonstr result

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