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

Aus der Reihe Lecture Notes in Computer Science

48,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.08.2009

Abbildungen

X, 494 p.

Herausgeber

Daniel Cremers + weitere

Verlag

Springer Berlin

Seitenzahl

494

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-03640-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.08.2009

Abbildungen

X, 494 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

494

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-03640-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
  • Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
  • 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.