Energy Minimization Methods in Computer Vision and Pattern Recognition : 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings / edited by Anand Rangarajan, Baba Vemuri, Alan L. Yuille.

Format:

Book

Contributor:

Rangarajan, Anand, editor.

Vemuri, Baba, editor.

Yuille, A. L. (Alan L.), editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 3757.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3757

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Artificial intelligence.

Computer graphics.

Algorithms.

Computers.

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Physical Description:

1 online resource (XII, 666 pages).

Edition:

First edition 2005.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.

System Details:

text file PDF

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-32098-2

9783540320982

Access Restriction:

Restricted for use by site license.