Energy Minimization Methods in Computer Vision and Pattern Recognition
Language: English
Published by Springer, Springer Okt 2005, 2005
- Softcover
- New
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This item is printed on demand - Print on Demand Titel. Neuware -Probabilistic and Informational Approaches.- Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application.- A Computational Approach to Fisher Information Geometry with Applications to Image Analysis.- Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering.- Concurrent Stereo Matching: An Image Noise-Driven Model.- Color Correction of Underwater Images for Aquatic Robot Inspection.- Bayesian Image Segmentation Using Gaussian Field Priors.- Handling Missing Data in the Computation of 3D Affine Transformations.- Maximum-Likelihood Estimation of Biological Growth Variables.- Deformable-Model Based Textured Object Segmentation.- Total Variation Minimization and a Class of Binary MRF Models.- Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study.- Combinatorial Approaches.- Probabilistic Subgraph Matching Based on Convex Relaxation.- Relaxation of Hard Classification Targets for LSE Minimization.- Linear Programming Matching and Appearance-Adaptive Object Tracking.- Extraction of Layers of Similar Motion Through Combinatorial Techniques.- Object Categorization by Compositional Graphical Models.- Learning Hierarchical Shape Models from Examples.- Discontinuity Preserving Phase Unwrapping Using Graph Cuts.- Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra.- Spatio-temporal Segmentation Using Dominant Sets.- Stable Bounded Canonical Sets and Image Matching.- Coined Quantum Walks Lift the Cospectrality of Graphs and Trees.- Variational Approaches.- Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme.- Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes.- An Adaptive Variational Model for Image Decomposition.- Segmentation Informed by Manifold Learning.- One-Shot Integral Invariant Shape Priors for Variational Segmentation.- Dynamic Shape and Appearance Modeling Via Moving and Deforming Layers.- Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach.- Constrained Total Variation Minimization and Application in Computerized Tomography.- Some New Results on Non-rigid Correspondence and Classification of Curves.- Edge Strength Functions as Shape Priors in Image Segmentation.- Spatio-temporal Prior Shape Constraint for Level Set Segmentation.- A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images.- Other Approaches and Applications.- Increasing Efficiency of SVM by Adaptively Penalizing Outliers.- Locally Linear Isometric Parameterization.- A Constrained Hybrid Optimization Algorithm for Morphable Appearance Models.- Kernel Methods for Nonlinear Discriminative Data Analysis.- Reverse-Convex Programming for Sparse Image Codes.- Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency.- Brain Image Analysis Using Spherical Splines.- High-Order Differential Geometry of Curves for Multiview Reconstruction and Matching.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 680 pp. Englisch.…
Seller Inventory # 9783540302872
- Title
- Energy Minimization Methods in Computer Vision and Pattern Recognition
- Author
- Anand Rangarajan
- Publisher
- Springer, Springer Okt 2005
- Publication year
- 2005
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3540302875
- ISBN 13
- 9783540302872
- Item weight
- 1,013 grams
- Dimensions
- 235x155x37 mm
"Synopsis" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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