Wang, LinqinBo, PengboChen, RenjieRitschel, TobiasWhiting, Emily2024-10-132024-10-132024978-3-03868-250-9https://doi.org/10.2312/pg.20241281https://diglib.eg.org/handle/10.2312/pg20241281We present a method for reconstructing 3D models from single images of creased documents by enhancing the linear shapefrom- shading (SFS) technique with a template-based error correction mechanism. This mechanism is based on a mapping function established using precise data from a spherical surface modeled with linearized Lambertian shading. The error correction mapping is integrated into an algorithm that refines reconstructed depth values during the image scanning process. To resolve the inherent concave/convex ambiguities in SFS, we identify specific conditions based on assumed lighting and the geometric characteristics of creased documents, effectively improving reconstruction even in less controlled lighting environments. Our approach captures intricate geometric details on non-smooth surfaces. Comparative results demonstrate that our method provides superior accuracy and efficiency in reconstructing complex features such as creases and wrinkles.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Reconstruction; Image processing; Mesh modelsComputing methodologies → ReconstructionImage processingMesh models10.2312/pg.2024128112 pages