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This edition includes discussion of Bayesian classification, Bayesian networks, linear and nonlinear classifier design (including neural networks and support vector machines), dynamic programming and hidden Markov models for sequential data, feature generation (including wavelets, principal component analysis, independent component analysis and fractals), feature selection techniques, basic concepts from learning theory, and clustering concepts and algorithms. This book considers classical and current theory and practice, of both supervised and unsupervised pattern recognition, to build a complete background for professionals and students of engineering.

Image Analysis I

Model-Based Image Segmentation Using Local Self-Adapting Separation

SIMBA-Search IMages by Appearance

Texture Defect Detection Using Invariant Textural Features

Poster

Segmentation of Spontaneously Splitting Figures into Overlapping Layers

Writer Adaptation for On-Line Handwriting Recognition

Blood Vessel Detection in Retinal Images by Shape-Based Multi-threshold

Probing

Vehicle Detection in Aerial Images Using Generic Features, Grouping, and Context

Reconstruction of Image Structure in Presence of Specular Reflections

3D-Gathering & Visualisation

Spatio-temporal Analysis of Human Faces Using Multi-resolution

Subdivision Surfaces

3D Anisotropic Diffusion Filtering for Enhancing Noisy Actin Filament

Fluorescence Images

Poster

Optimal Camera Orientation from Points and Straight Lines

Points, Lines and Planes and Their Optimal Estimation

A Probabilistic Approach to Simultaneous Segmentation, Object Recognition, 3D Localization and Tracking Using Stereo

Improving the Robustness in Extracting 3D Point Landmarks Based on Deformable Models

Efficient 3D Vertex Detection in Range Images Acquired with a Laser

Image Processing

Scale Adaptive Filtering Derived from the Laplace Equation

One-Sided Stability of Medial Axis Transform

Poster

Robust Line Detection in Historical Church Registers

Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition

Affine Point Pattern Matching

Image Sequence Analysis

Surface Expansion from Range Data Sequences

Illumination-Invariant Change Detection Using a Statistical Colinearity Criterion

……

Poster

Classifcation

Poster

Active Vision

Poster

Image Analysis II

3D-Reconstruction

Poster

Inteaction Viriual witfh Real Worlds

Poster

Invited Talk

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The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available.

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书籍介绍

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This book constitutes the refereed proceedings of the 23rd Symposium of the German Association for Pattern Recognition, DAGM 2001, held in Munich, Germany in September 2001.

The 58 revised full papers and posters presented were carefully reviewed and selected from a total of 105 submissions. The book offers topical sections on image analysis, 3D-gathering and visualization, image processing, image sequence analysis, classification, active vision, 3D-reconstruction, and interaction of virtual and real worlds.

length: (cm)23.3 　　　 　　　　　 　　　　　 width:(cm)15.4