Journal of Mathematical Imaging and Vision
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Minimal Surfaces in the Roto-Translation Group with Applications to a Neuro-Biological Image Completion Model
Journal of Mathematical Imaging and Vision - - 2010
A Nonlocal Laplacian-Based Model for Bituminous Surfacing Crack Recovery and its MPI Implementation
Journal of Mathematical Imaging and Vision - Tập 62 Số 6-7 - Trang 1007-1033 - 2020
Image Denoising Using Directional Adaptive Variable Exponents Model
Journal of Mathematical Imaging and Vision - Tập 57 - Trang 56-74 - 2016
In this paper, a new variational image denoising model is proposed. The new model could be seen to be a two-step method. In the first step, structure tensor analysis is used to infer something about the local geometry. The eigenvectors and the eigenvalues of the structure tensor are used in the construction of the denoising energy. In the second step, the actual variational denoising takes place. ...... hiện toàn bộ
3D Curves Reconstruction Based on Deformable Models
Journal of Mathematical Imaging and Vision - Tập 18 - Trang 211-223 - 2003
We present a new method, based on curve evolution, for the reconstruction of a 3D curve from two different projections. It is based on the minimization of an energy functional. Following the work on geodesic active contours by Caselles et al. (in Int. Conf. on Pattern Recognition, 1996, Vol. 43, pp. 693–737), we then transform the problem of minimizing the functional into a problem of geodesic com...... hiện toàn bộ
Robust Multi-image Processing with Optimal Sparse Regularization
Journal of Mathematical Imaging and Vision - Tập 51 - Trang 413-429 - 2014
Sparse modeling can be used to characterize outlier type noise. Thanks to sparse recovery theory, it was shown that 1-norm super-resolution is robust to outliers if enough images are captured. Moreover, sparse modeling of signals is a way to overcome ill-posedness of under-determined problems. This naturally leads to this question: does an added sparsity assumption on the signal improve the robust...... hiện toàn bộ
Fourier Descriptors Based on the Structure of the Human Primary Visual Cortex with Applications to Object Recognition
Journal of Mathematical Imaging and Vision - - 2017
Squeezing the DCT to Fight Camouflage
Journal of Mathematical Imaging and Vision - Tập 62 - Trang 206-222 - 2019
This paper presents a novel descriptor based on the two-dimensional discrete cosine transform (2D DCT) to fight camouflage. The 2D DCT gained popularity in image and video analysis owing to its wide use in signal compression. The 2D DCT is a well-established example to evaluate new techniques in sparse representation and is widely used for block and texture description, mainly due to its simplicit...... hiện toàn bộ
Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields
Journal of Mathematical Imaging and Vision - Tập 55 Số 1 - Trang 50-88 - 2016
On Parallel Thinning Algorithms: Minimal Non-simple Sets, P-simple Points and Critical Kernels
Journal of Mathematical Imaging and Vision - Tập 35 - Trang 23-35 - 2009
Critical kernels constitute a general framework in the category of abstract complexes for the study of parallel homotopic thinning in any dimension. In this article, we present new results linking critical kernels to minimal non-simple sets (MNS) and P-simple points, which are notions conceived to study parallel thinning in discrete grids. We show that these two previously introduced notions can b...... hiện toàn bộ
Reconstruction from Calibrated Cameras—A New Proof of the Kruppa-Demazure Theorem
Journal of Mathematical Imaging and Vision - Tập 10 - Trang 123-142 - 1999
This paper deals with the problem of reconstructing the locations of five points in space from two different images taken by calibrated cameras. Equivalently, the problem can be formulated as finding the possible relative locations and orientations, in three-dimensional Euclidean space, of two labeled stars, of five lines each, such that corresponding lines intersect. The problem was first treated...... hiện toàn bộ
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