Energy Minimization Methods in Computer Vision and Pattern Recognition

Inhaltsverzeichnis

• Discrete Optimization and Markov Random Fields.
• Multi-label Moves for MRFs with Truncated Convex Priors.
• Detection and Segmentation of Independently Moving Objects from Dense Scene Flow.
• Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation.
• Bipartite Graph Matching Computation on GPU.
• Pose-Invariant Face Matching Using MRF Energy Minimization Framework.
• Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction.
• General Search Algorithms for Energy Minimization Problems.
• Partial Differential Equations.
• Complex Diffusion on Scalar and Vector Valued Image Graphs.
• A PDE Approach to Coupled Super-Resolution with Non-parametric Motion.
• On a Decomposition Model for Optical Flow.
• A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis.
• Computing the Local Continuity Order of Optical Flow Using Fractional Variational Method.
• A Local Normal-Based Region Term for Active Contours.
• Segmentation and Tracking.
• Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels.
• Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV.
• Complementary Optic Flow.
• Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images.
• Three Dimensional Monocular Human Motion Analysis in End-Effector Space.
• Robust Segmentation by Cutting across a Stack of Gamma Transformed Images.
• Shape Optimization and Registration.
• Integrating the Normal Field of a Surface in the Presence of Discontinuities.
• Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence.
• Geodesics in Shape Space via Variational Time Discretization.
• Image Registration under Varying Illumination: Hyper-Demons Algorithm.
• Hierarchical Vibrations: A Structural Decomposition Approach for Image Analysis.
• Inpainting and Image Denoising.
• Exemplar-Based Interpolation of Sparsely Sampled Images.
• A Variational Framework for Non-local Image Inpainting.
• Image Filtering Driven by Level Curves.
• Color Image Restoration Using Nonlocal Mumford-Shah Regularizers.
• Reconstructing Optical Flow Fields by Motion Inpainting.
• Color and Texture.
• Color Image Segmentation in a Quaternion Framework.
• Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel.
• Locally Parallel Textures Modeling with Adapted Hilbert Spaces.
• Global Optimal Multiple Object Detection Using the Fusion of Shape and Color Information.
• Statistics and Learning.
• Human Age Estimation by Metric Learning for Regression Problems.
• Clustering-Based Construction of Hidden Markov Models for Generative Kernels.
• Boundaries as Contours of Optimal Appearance and Area of Support.