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内容简介:
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.
书籍目录:
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.
The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes.
-proceedings(published in time for the respective conference)
-post-proceedings(consisting of thoroughly revised final full papers)
-research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.).
书籍介绍
在线阅读本书
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
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