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Template matching techniques in computer vision : theory and practice /

The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human percept.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Brunelli, Roberto, 1961-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, U.K. : Wiley, 2009.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Brunelli, Roberto,  |d 1961- 
245 1 0 |a Template matching techniques in computer vision :  |b theory and practice /  |c Roberto Brunelli. 
260 |a Chichester, U.K. :  |b Wiley,  |c 2009. 
300 |a 1 online resource (x, 338 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
520 |a The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human percept. 
505 0 |a Template Matching Techniques in Computer Vision; CONTENTS; Preface; 1 Introduction; 1.1 Template Matching and Computer Vision; 1.2 The Book; 1.3 Bibliographical Remarks; References; 2 The Imaging Process; 2.1 Image Creation; 2.1.1 Light; 2.1.2 Gathering Light; 2.1.3 Diffraction-limited Systems; 2.1.4 Quantum Noise; 2.2 Biological Eyes; 2.2.1 The Human Eye; 2.2.2 Alternative Designs; 2.3 Digital Eyes; 2.4 Digital Image Representations; 2.4.1 The Sampling Theorem; 2.4.2 Image Resampling; 2.4.3 Log-polar Mapping; 2.5 Bibliographical Remarks; References; 3 Template Matching as Testing 
505 8 |a 3.1 Detection and Estimation3.2 Hypothesis Testing; 3.2.1 The Bayes Risk Criterion; 3.2.2 The Neyman-Pearson Criterion; 3.3 An Important Example; 3.4 A Signal Processing Perspective: Matched Filters; 3.5 Pattern Variability and the Normalized Correlation Coefficient; 3.6 Estimation; 3.6.1 Maximum Likelihood Estimation; 3.6.2 Bayes Estimation; 3.6.3 James-Stein Estimation; 3.7 Bibliographical Remarks; References; 4 Robust Similarity Estimators; 4.1 Robustness Measures; 4.2 M-estimators; 4.3 L1 Similarity Measures; 4.4 Robust Estimation of Covariance Matrices; 4.5 Bibliographical Remarks 
505 8 |a 7.1 Getting Shapes: Edge Detection7.2 The Radon Transform; 7.3 The Hough Transform: Line and Circle Detection; 7.4 The Generalized Hough Transform; 7.5 Bibliographical Remarks; References; 8 Low-dimensionality Representations and Matching; 8.1 Principal Components; 8.1.1 Probabilistic PCA; 8.1.2 How Many Components?; 8.2 A Nonlinear Approach: Kernel PCA; 8.3 Independent Components; 8.4 Linear Discriminant Analysis; 8.4.1 Bayesian Dual Spaces; 8.5 A Sample Application: Photographic-quality Facial Composites; 8.6 Bibliographical Remarks; References; 9 Deformable Templates 
505 8 |a 9.1 A Dynamic Perspective on the Hough Transform9.2 Deformable Templates; 9.3 Active Shape Models; 9.4 Diffeomorphic Matching; 9.5 Bibliographical Remarks; References; 10 Computational Aspects of Template Matching; 10.1 Speed; 10.1.1 Early Jump-out; 10.1.2 The Use of Sum Tables; 10.1.3 Hierarchical Template Matching; 10.1.4 Metric Inequalities; 10.1.5 The FFT Advantage; 10.1.6 PCA-based Speed-up; 10.1.7 A Combined Approach; 10.2 Precision; 10.2.1 A Perturbative Approach; 10.2.2 Phase Correlation; 10.3 Bibliographical Remarks; References; 11 Matching Point Sets: The Hausdorff Distance 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Computer vision. 
650 0 |a Template matching (Digital image processing) 
650 0 |a Image processing  |x Digital techniques. 
650 0 |a Optical pattern recognition. 
650 0 |a Image analysis. 
650 6 |a Vision par ordinateur. 
650 6 |a Appariement de gabarits (Traitement d'images) 
650 6 |a Traitement d'images  |x Techniques numériques. 
650 6 |a Reconnaissance optique des formes (Informatique) 
650 6 |a Analyse d'images. 
650 7 |a digital imaging.  |2 aat 
650 7 |a COMPUTERS  |x Computer Vision & Pattern Recognition.  |2 bisacsh 
650 7 |a Computer vision  |2 fast 
650 7 |a Image analysis  |2 fast 
650 7 |a Image processing  |x Digital techniques  |2 fast 
650 7 |a Optical pattern recognition  |2 fast 
650 7 |a Template matching (Digital image processing)  |2 fast 
758 |i has work:  |a Template matching techniques in computer vision (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCFRFVHPPDHPxqPhW3gJWwy  |4 https://id.oclc.org/worldcat/ontology/hasWork 
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