Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Retexturing in the Presence of Complex Illumination and Occlusions
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Exploring ambiguities for monocular non-rigid shape estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Intrinsic regularity detection in 3D geometry
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Laplacian meshes for monocular 3d shape recovery
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
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We demonstrate a method for reconstructing the shape of a deformed surface from a single view. After decomposing an image into irradiance and albedo components, we combine normal cues from shading and texture to produce a field of unambiguous normals. Using these normals, we reconstruct the 3D geometry. Our method works in two regimes: either requiring the frontal appearance of the texture or building it automatically from a series of images of the deforming texture. We can recover geometry with errors below four percent of object size on arbitrary textures, and estimate specific geometric parameters using a custom texture even more accurately.