A simple proof of convergence for an approximation scheme for computing motions by mean curvature
SIAM Journal on Numerical Analysis
Filtering, Segmentation, and Depth
Filtering, Segmentation, and Depth
Segmentation with Depth but Without Detecting Junctions
Journal of Mathematical Imaging and Vision
Deformable Kernels for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filling-in by joint interpolation of vector fields and gray levels
IEEE Transactions on Image Processing
Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Crossing-Preserving Coherence-Enhancing Diffusion on Invertible Orientation Scores
International Journal of Computer Vision
Journal of Mathematical Imaging and Vision
International Journal of Computer Vision
A biologically-inspired theory for non-axiomatic parametric curve completion
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Spatially-variant structuring elements inspired by the neurogeometry of the visual cortex
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Geometrically Guided Exemplar-Based Inpainting
SIAM Journal on Imaging Sciences
Tangent bundle curve completion with locally connected parallel networks
Neural Computation
Morphological and Linear Scale Spaces for Fiber Enhancement in DW-MRI
Journal of Mathematical Imaging and Vision
Convex Relaxation of a Class of Vertex Penalizing Functionals
Journal of Mathematical Imaging and Vision
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We present a mathematical model of perceptual completion and formation of subjective surfaces, which is at the same time inspired by the architecture of the visual cortex, and is the lifting in the 3-dimensional rototranslation group of the phenomenological variational models based on elastica functional. The initial image is lifted by the simple cells to a surface in the rototranslation group and the completion process is modeled via a diffusion driven motion by curvature. The convergence of the motion to a minimal surface is proved. Results are presented both for modal and amodal completion in classic Kanizsa images.