Approximation Methods for the Recovery of Shapes and Images from Gradients

DOI10.1007/978-0-8176-8376-4_19zbMath1316.94014OpenAlexW191103519MaRDI QIDQ5261106

Rama Chellappa, Vishal M. Patel

Publication date: 1 July 2015

Published in: Applied and Numerical Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-8176-8376-4_19

zbMATH Keywords

imagesurfacereconstructionphotometric stereoshape from shadingsparsityrecoveryPoisson solvercompressive samplingshape recoveryshapeletsimage gradients

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Noise reduction in surface reconstruction from a given gradient field
• Numerical shape from shading and occluding boundaries
• Shape-from-shading: a survey
• Direct analytical methods for solving Poisson equations in computer vision problems
• On sparse reconstruction from Fourier and Gaussian measurements
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• A method for enforcing integrability in shape from shading algorithms
• Gradient-Based Image Recovery Methods From Incomplete Fourier Measurements
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