LEADER 06206nam 22007575 450 001 996465647803316 005 20200703102358.0 010 $a3-642-03641-4 024 7 $a10.1007/978-3-642-03641-5 035 $a(CKB)1000000000772868 035 $a(SSID)ssj0000317466 035 $a(PQKBManifestationID)11292422 035 $a(PQKBTitleCode)TC0000317466 035 $a(PQKBWorkID)10289012 035 $a(PQKB)11472629 035 $a(DE-He213)978-3-642-03641-5 035 $a(MiAaPQ)EBC3064467 035 $a(PPN)139950974 035 $a(EXLCZ)991000000000772868 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEnergy Minimization Methods in Computer Vision and Pattern Recognition$b[electronic resource] $e7th International Conference, EMMCVPR 2009, Bonn, Germany, August 24-27, 2009, Proceedings /$fedited by Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (X, 494 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v5681 300 $aIncludes index. 311 $a3-642-03640-6 327 $aDiscrete 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. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v5681 606 $aOptical data processing 606 $aPattern recognition 606 $aComputer software?Reusability 606 $aAlgorithms 606 $aData mining 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aPerformance and Reliability$3https://scigraph.springernature.com/ontologies/product-market-codes/I12077 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aComputer software?Reusability. 615 0$aAlgorithms. 615 0$aData mining. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aPerformance and Reliability. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aData Mining and Knowledge Discovery. 676 $a006.6 676 $a006.37 702 $aCremers$b Daniel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBoykov$b Yuri$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBlake$b Andrew$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchmidt$b Frank R$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465647803316 996 $aEnergy Minimization Methods in Computer Vision and Pattern Recognition$9772370 997 $aUNISA