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

HUMID

Nonlinear Spectral Image Fusionof the proposed approach in several numerical experiments, including a comparison to the competing techniques of Poisson image editing, linear osmosis, wavelet fusion and Laplacian pyramid fusion. We conclude that the proposed spectral TV image decomposition framework is a valuable tool for semi- and fully-automatic image editing and fusion.

螢火蟲(chóng)

Stochastic Image Reconstruction from Local Histograms of Gradient Orientationmplified SIFT descriptors. We propose two reconstruction models based on Poisson editing and on the combination of multiscale orientation fields. These models are able to recover global shapes and many geometric details of images. They compare well to state of the art results, without requiring the use of any external database.

賭博

textile

Permanent

0302-9743 ;?Tomographic Reconstruction;?Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging;?Optical Flow, Motion Estimation and Registration;?3D Vision..978-3-319-58770-7978-3-319-58771-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

魯莽

Tubular Structure Segmentation Based on Heat Diffusions to the additional dimension added for the local radius around the centerline, our method can not only detect the centerline of the structure, but also extracts the boundaries of the structures. Our algorithm is tested on both synthetic and real images. The promising results demonstrate the robustness and effectiveness of the algorithm.

補(bǔ)助

Analysis of a Physically Realistic Film Grain Model, and a Gaussian Film Grain Synthesis Algorithmressions for the expected value and covariance of the film grain texture. We approximate these quantities using a Monte Carlo simulation, and use them to propose a film grain synthesis algorithm based on Gaussian textures. With numerical and visual experiments, we demonstrate the correctness and subjective qualities of the proposed algorithm.

期滿(mǎn)

Silent-Ischemia

Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters The experimental evaluation shows competitive performance compared to previous methods for dynamic texture recognition, especially on the more complex DynTex database. These results support the descriptive power of time-causal spatio-temporal scale-space filters as primitives for video analysis.

HPA533

Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplaciann but also aggregates them in a common framework. In addition, the performed analysis guides us to specify two new formulations of the classic image reconstruction problem that may give rise to new developments in image reconstruction.