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

Λεπτομέρειες βιβλιογραφικής εγγραφής
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:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Energy Minimization Methods in Computer Vision and Pattern Recognition  |h [electronic resource] :  |b 7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009. Proceedings /  |c edited by Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a X, 494 p.  |b online resource. 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 5681 
505 0 |a 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. 
650 0 |a Computer science. 
650 0 |a Computer software  |x Reusability. 
650 0 |a Algorithms. 
650 0 |a Data mining. 
650 0 |a Computer graphics. 
650 0 |a Image processing. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Performance and Reliability. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
650 2 4 |a Data Mining and Knowledge Discovery. 
700 1 |a Cremers, Daniel.  |e editor. 
700 1 |a Boykov, Yuri.  |e editor. 
700 1 |a Blake, Andrew.  |e editor. 
700 1 |a Schmidt, Frank R.  |e editor. 
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830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 5681 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-03641-5  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)