Relaxation labelling algorithms-a review
Image and Vision Computing
A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of digital image processing
Fundamentals of digital image processing
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A method for enforcing integrability in shape from shading algorithms
Shape from shading
A Theory of Photometric Stereo for a Class of Diffuse Non-Lambertian Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet-based shape from shading
Graphical Models and Image Processing
Shape from shading and photometric stereo using surface approximation by Legendre polynomials
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Robot Vision
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing
A graph-spectral method for surface height recovery
Pattern Recognition
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This paper describes an adaptive surface reconstruction method from a given gradient field that allows discontinuities in the solution. We first formalize a vector space projection technique to reconstruct a surface with a uniformly integrable gradient field that corresponds to the minimum norm solution in the gradient space over discrete imaging settings. Next, we generalize this technique to reconstruct minimum norm solution surfaces with partially integrable gradient fields, where partial integrability is characterized adaptively from the given gradient field using multi-scale gradient space expansions. The simulations on synthesized and real data using block processing techniques indicate that the proposed method provides fast and reliable surface reconstruction through accurate characterization of embedded partial integrability in a given gradient field.