Reflectance and Shape from Images Using a Collinear Light Source
International Journal of Computer Vision
Digital restoration using volumetric scanning
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Image Restoration of Arbitrarily Warped Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
Journal of Mathematical Imaging and Vision
Restoring 2D Content from Distorted Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Non-local Approach to Shape from Ambient Shading
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
IWCF'10 Proceedings of the 4th international conference on Computational forensics
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We address the problem to recover the 3D shape of an unfolded book surface from the shading information in a scanner image. From a technical point of view, this shape from shading problem in real world environments is characterized by (1) proximal light source, (2) interreflections, (3) moving light source, (4) specular reflection, and (5) nonuniform albedo distribution. Taking all these factors into account, we first formulate the problem based on an iterative nonlinear optimization scheme. Then we introduce piecewise polynomial models of the 3D shape. Image restoration experiments for a real book surface demonstrated that geometric and photometric distortions are almost completely removed by the proposed method.