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Auxiliary variables and two-step iterative algorithms in computer vision problems

https://doi.org/10.1007/bf00127375
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Robust Statistics
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A Hybrid Hyperquadric Model for 2-D and 3-D Data Fitting
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Iterative Identification and Restoration of Images
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Iterative Image Restoration
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A common framework for image segmentation
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Feature extraction from faces using deformable templates
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Snakes: Active contour models
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Iterative point matching for registration of free-form curves and surfaces
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Euclidean distance mapping
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From images to surfaces: A computational study of the human early visual system
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Nonlinear total variation based noise removal algorithms
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Journal of the Royal Statistical Society (B)
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Distance transformations in arbitrary dimensions
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Exponential and polynomial methods for applying tension to an interpolating spline curve
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A regularized solution to edge detection
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On active contour models and balloons
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Using deformable surfaces to segment 3-D images and infer differential structures
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Dynamic Segmentation: Finding the Edge With Snake Splines
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Convex Analysis and Variational Problems
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Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability
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Constraint networks in vision
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Constrained restoration and the recovery of discontinuities
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A method for registration of 3-D shapes
inferredcites →https://doi.org/10.1109/34.126810openalex-snapshot
What's in a set of points? (straight line fitting)
inferredcites →https://doi.org/10.1109/34.244675openalex-snapshot
Finite-element methods for active contour models and balloons for 2-D and 3-D images
inferredcites →https://doi.org/10.1109/34.3908openalex-snapshot
The computation of visible-surface representations
inferredcites →https://doi.org/10.1109/34.50621openalex-snapshot
Shape reconstruction on a varying mesh
inferredcites →https://doi.org/10.1109/34.56205openalex-snapshot
Scale-space and edge detection using anisotropic diffusion
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Nonlinear image recovery with half-quadratic regularization
inferredcites →https://doi.org/10.1109/cvpr.1991.139659openalex-snapshot
Surface approximation using weighted splines
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Locally affine registration of free-form surfaces
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A finite element method applied to new active contour models and 3D reconstruction from cross sections
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Large deformable splines, crest lines and matching
inferredcites →https://doi.org/10.1109/iccv.1993.378174openalex-snapshot
Using hyperquadrics for shape recovery from range data
inferredcites →https://doi.org/10.1109/icpr.1994.576229openalex-snapshot
A robust technique for the estimation of the deformable hyperquadrics from images
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Fitting 3-D data using superquadrics and free-form deformations
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A deterministic algorithm for edge-preserving computed imaging using Legendre transform
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Interpolation with interval and point tension controls using cubic weighted v -splines
inferredcites →https://doi.org/10.1201/9781439863602openalex-snapshot
Wavelets, Images, and Surface Fitting
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3D Curve Reconstruction from Degraded Projections
inferredcites →https://doi.org/10.21236/ada461783openalex-snapshot
Recognition by Parts
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Solutions of Ill-Posed Problems.
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Introduction a l'Analyse Numerique Matricielle et a l'Optimisation.
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From Images to Surfaces
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Visual Reconstruction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Parametric Deformable Model to Fit Unstructured 3D Data
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Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
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Adaptive parametrically deformable contours
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Optimization-inspired Cumulative Transmission Network for image compressive sensing
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Tracking and motion analysis of the left ventricle with deformable superquadrics
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Global Minimum for Active Contour Models: A Minimal Path Approach
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Image Sequence Analysis via Partial Differential Equations
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Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements
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