Pattern Recognition (Record no. 182476)

MARC details
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fixed length control field 08328nam a22006615i 4500
001 - CONTROL NUMBER
control field 978-3-642-15986-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125848.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 100917s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642159862
-- 978-3-642-15986-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-15986-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
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Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Pattern Recognition
Medium [electronic resource] :
Remainder of title 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010, Proceedings /
Statement of responsibility, etc edited by Michael Goesele, Stefan Roth, Arjan Kuijper, Bernt Schiele, Konrad Schindler.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2010.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent XXI, 574 p. 262 illus.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume number/sequential designation 6376
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Geometry and Calibration -- 3D Reconstruction Using an n-Layer Heightmap -- Real-Time Dense Geometry from a Handheld Camera -- From Single Cameras to the Camera Network: An Auto-Calibration Framework for Surveillance -- Active Self-calibration of Multi-camera Systems -- Poster Session I -- Optimization on Shape Curves with Application to Specular Stereo -- Unsupervised Facade Segmentation Using Repetitive Patterns -- Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model -- Estimating Force Fields of Living Cells – Comparison of Several Regularization Schemes Combined with Automatic Parameter Choice -- Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes -- Robust Identification of Locally Planar Objects Represented by 2D Point Clouds under Affine Distortions -- Model-Based Recognition of Domino Tiles Using TGraphs -- Slicing the View: Occlusion-Aware View-Based Robot Navigation -- A Contour Matching Algorithm to Reconstruct Ruptured Documents -- Local Structure Analysis by Isotropic Hilbert Transforms -- Complex Motion Models for Simple Optical Flow Estimation -- Tracking People in Broadcast Sports -- A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing -- Inpainting in Multi-image Stereo -- Analysis of Length and Orientation of Microtubules in Wide-Field Fluorescence Microscopy -- Learning Non-stationary System Dynamics Online Using Gaussian Processes -- Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma -- Recognition -- Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies -- VF-SIFT: Very Fast SIFT Feature Matching -- One-Shot Learning of Object Categories Using Dependent Gaussian Processes -- Learning andOptimization -- Uncertainty Driven Multi-scale Optimization -- The Group-Lasso: ?1,??? Regularization versus ?1,2 Regularization -- Random Fourier Approximations for Skewed Multiplicative Histogram Kernels -- Gaussian Mixture Modeling with Gaussian Process Latent Variable Models -- Applications -- Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data -- Catheter Tracking: Filter-Based vs. Learning-Based -- Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization -- Poster Session II -- A Convex Approach for Variational Super-Resolution -- Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation -- A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries -- Wavelet-Based Inpainting for Object Removal from Image Series -- An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM -- N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments , -- Nugget-Cut: A Segmentation Scheme for Spherically- and Elliptically-Shaped 3D Objects -- Benchmarking Stereo Data (Not the Matching Algorithms) -- Robust Open-Set Face Recognition for Small-Scale Convenience Applications -- Belief Propagation for Improved Color Assessment in Structured Light -- 3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation -- Matte Super-Resolution for Compositing -- An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval -- A Novel Curvature Estimator for Digital Curves and Images -- Local Regression Based Statistical Model Fitting -- Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation -- Motion -- Geometrically Constrained Level Set Tracking forAutomotive Applications -- Interactive Motion Segmentation -- On-Line Multi-view Forests for Tracking -- Low-Level Vision and Features -- Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes -- A Stochastic Evaluation of the Contour Strength -- Incremental Computation of Feature Hierarchies -- From Box Filtering to Fast Explicit Diffusion -- Surfaces and Materials -- High-Resolution Object Deformation Reconstruction with Active Range Camera -- Selection of an Optimal Polyhedral Surface Model Using the Minimum Description Length Principle -- Learning of Optimal Illumination for Material Classification.
520 ## - SUMMARY, ETC.
Summary, etc On behalf of the organizing committee, we would like to welcome you to Da- nd stadt and DAGM 2010,the 32 Annual Symposium of the German Association for Pattern Recognition. The technical program covered all aspects of pattern recognition and, to name only a few areas, ranged from 3D reconstruction, to object recognition and medical applications. The result is re?ected in these proceedings, which contain the papers presented at DAGM 2010. Our call for papers resulted in 134 submissions from institutions in 21 countries. Each paper underwent a rigorous reviewing process and was assigned to at least three program committee m- bers for review. The reviewing phase was followed by a discussion phase among the respective program committee members in order to suggest papers for - ceptance. The ?nal decision was taken during a program committee meeting held in Darmstadt based on all reviews, the discussion results and, if necessary, additional reviewing. Based on this rigorous process we selected a total of 57 papers, corresponding to an acceptance rate of below 45%. Out of all accepted papers, 24 were chosen for oral and 33 for poster presentation. All accepted - pers have been published in these proceedings and given the same number of pages. We would like to thank all members of the program committee as well as the external reviewers for their valuable and highly appreciated contribution to the community.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern recognition systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer graphics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automated Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Graphics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer and Information Systems Applications.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Goesele, Michael.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Roth, Stefan.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kuijper, Arjan.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schiele, Bernt.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schindler, Konrad.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642159855
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642159879
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Image Processing, Computer Vision, Pattern Recognition, and Graphics,
-- 3004-9954 ;
Volume number/sequential designation 6376
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-642-15986-2">https://doi.org/10.1007/978-3-642-15986-2</a>
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Koha item type eBooks-CSE-Springer

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