Shape, Structure and Pattern Recognition

Name: Shape, Structure and Pattern Recognition
Brand: WORLD SCIENTIFIC PUB CO INC
Price: 408.75 AUD
Availability: BackOrder

By: Horst Bunke (Editor), Alfred Bruckstein (Editor), D Dori (Editor)

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Hardcover | 1 December 1994

At a Glance

Hardcover
456 Pages

Dimensions(cm)
25.4 x 17.15 x 3.18

Hardcover

$408.75

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The book is an extensive compilation of the papers presented at the IAPR International Workshop on Structural and Syntactic Pattern Recognition, SSPR'94. It includes a preface by Professor Herbert Freeman, who is the recipent of the IAPR King Sun Fu Award for 1994. The book is divided into four parts and covers state-of-the art topics related to a variety of aspects of pattern recognition.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Pattern Recognition Databases Data Capture & Analysis Booktopia Publisher Services World Scientific Publishing

Computing shortest paths on 3D surfaces: A coarse to fine approach	p. 3
Orientation-based representations for mathematical morphology	p. 13
Automatic medial axis pruning based on characteristics of the skeleton-space	p. 23
Finding and ranking basic structures on complex line patterns	p. 33
Length estimation of 3D digital curves	p. 43
Recognition using region correspondences	p. 51
On skeletonization in 2, 3, ... N dimensional images	p. 71
Skew-symmetry detection via invariant signatures	p. 81
Integral and local affine invariant parameters and application to shape recognition	p. 99
Efficient shape recognition of hierarchically encoded structures by moments from boundaries	p. 109
Interdisciplinary study of visual invariants	p. 118
Reliable 3D primitives for polyhedral object reconstruction	p. 128
A framework of symmetry exploration in 3D object recognition	p. 138
3D object recognition from range data using a relational matching technique with a hierarchy of constraints	p. 148
3D Bsnakes applied to brain deformations tracking	p. 158
A model-based fingerprint verification system	p. 168
A new multiscale-based shape recognition method	p. 178
Active grammatical inference: A new learning methodology	p. 191
Learning structural descriptions from images	p. 201
Multi-frame feature tracking by probabilistic relaxation	p. 211
Structural pattern recognition by non-reducible descriptors	p. 221
Efficient error-tolerant subgraph isomorphism detection	p. 231
Neural Automata	p. 241
Inexact graph matching criteria	p. 251
Inductive pattern learning	p. 261
Taxonomical analysis of strings using learning automata	p. 271
Acquisition of structural morphological procedure by introducing era into genetic algorithms	p. 281
Incremental grammatical inference from positive and negative data using unbiased finite state automata	p. 291
A neural programming paradigm	p. 301
An incremental learning system for interpretation of images	p. 311
Subsampling: A structural approach to technical document vectorization	p. 323
Application of hierarchical methods of cluster analysis to the printed text structure recognition	p. 333
Bounded-error preclassification trees	p. 343
Logical tagging of document images by white space pattern matching	p. 350
A knowledge based segmentation algorithm for enhanced recognition of handwritten courtesy amounts	p. 360
Using directional mathematical morphology for separation of character strings from text/graphics images	p. 372
Using character shape codes for word spotting in document images	p. 382
Document zone hierarchy and classification	p. 390
Variational geometry as a tool for dimensioning validation of recognized 2D views in engineering drawings	p. 416
On the automated labeling of maps	p. 432
Table of Contents provided by Blackwell. All Rights Reserved.

Shape, Structure and Pattern Recognition

At a Glance

Hardcover

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