Energy Minimization Methods in Computer Vision and Pattern Recognition 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cremers, Daniel (Επιμελητής έκδοσης), Boykov, Yuri (Επιμελητής έκδοσης), Blake, Andrew (Επιμελητής έκδοσης), Schmidt, Frank R. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5681
• Θέματα: Computer science.; Computer software > Reusability.; Algorithms.; Data mining.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Performance and Reliability.; Algorithm Analysis and Problem Complexity.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Data Mining and Knowledge Discovery.

Πίνακας περιεχομένων:

• 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.