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

EAN (ISBN-13): 9783642036408
ISBN (ISBN-10): 3642036406
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: Springer Berlin Heidelberg
494 Seiten
Gewicht: 0,780 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2008-11-13T15:27:39+01:00 (Berlin)
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ISBN/EAN: 9783642036408

ISBN - alternative Schreibweisen:
3-642-03640-6, 978-3-642-03640-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: andrew blake, cremers, cremer, creme, schmidt frank, daniel schmidt, weickert
Titel des Buches: august bonn, computer vision, pattern recognition, beyond bonn, visions, the pattern, lecture notes computer science, international computer graphics, energy methods

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Daten vom Verlag:

Autor/in: Daniel Cremers; Yuri Boykov; Andrew Blake; Frank R. Schmidt
Titel: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Energy Minimization Methods in Computer Vision and Pattern Recognition - 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009, Proceedings
Verlag: Springer; Springer Berlin
494 Seiten
Erscheinungsjahr: 2009-08-11
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 494 p.

BC; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Computer Vision; GPU computing; energy minimization; graph theory; image analysis; image denoising; image registration; image segmentation; multi-scale; optical flow; optimization; pattern matching; pattern recognition; remote sensing; wireless networks; algorithm analysis and problem complexity; Computer Vision; Automated Pattern Recognition; Hardware Performance and Reliability; Algorithms; Computer Imaging, Vision, Pattern Recognition and Graphics; Data Mining and Knowledge Discovery; Mustererkennung; Computerhardware; Algorithmen und Datenstrukturen; Bildverarbeitung; Data Mining; Wissensbasierte Systeme, Expertensysteme; EA

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.