Autore	Evison Martin Paul
Edizione	[First edition.]
Pubbl/distr/stampa	Boca Raton, Fla. : , : Taylor & Francis Group, , 2010
Descrizione fisica	1 online resource (212 p.)
Disciplina	006.42
Altri autori (Persone)	Vorder BrueggeRichard W
Soggetto topico	Human face recognition (Computer science) Optical pattern recognition
Soggetto genere / forma	Electronic books.
ISBN	0-429-24483-5 1-4398-1134-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front cover; Table of Contents; Preface; The Editors; Contributors; Acknowledgments; Chapter 1. Introduction; Chapter 2. Image Quality and Accuracy in Three 3D Scanners; Chapter 3. Shape Variation in Anthropometric Landmarks in 3D; Chapter 4. A Large Database Sample of 3D Facial Images and Measurements; Chapter 5. Investigation of Anthropometric Landmarking in 2D; Chapter 6. Effect of 3D Rotation on Landmark Visibility; Chapter 7. Influence of Lens Distortion and Perspective Error; Chapter 8. Estimation of Landmark Position Using an Active Shape Model Chapter 9. Generation of Values for Missing DataChapter 10. Admissibility; Chapter 11. Application Toolset; Chapter 12. Problems and Prospects; Appendix A. Information Sheet, Biographic Form, and Consent Form; Appendix B. Companion DVDs; Index; Color Insert; Back cover
Record Nr.	UNINA-9910459120603321

Pubbl/distr/stampa	Burlington, MA, : Elsevier Academic Press, c2005
Descrizione fisica	1 online resource (409 p.)
Disciplina	006.4 614.1
Altri autori (Persone)	ClementJohn G MarksMurray K
Soggetto topico	Forensic osteology Facial reconstruction (Anthropology) Forensic anthropology Human face recognition (Computer science) Dead
Soggetto genere / forma	Electronic books.
ISBN	1-280-63793-5 9786610637935 0-08-045422-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	COVER; COMPUTER-GRAPHIC FACIAL RECONSTRUCTION; CONTENTS; FOREWORD; PREFACE; ACKNOWLEDGEMENTS; ABOUT THE EDITORS; LIST OF CONTRIBUTORS; PART I HISTORY AND BACKGROUND; CHAPTER 1 INTRODUCTION TO FACIAL RECONSTRUCTION; 1.1 BACKGROUND; 1.2 UNITING MICRO- AND MACROMORPHOLOGICAL THEMES; 1.3 FORENSIC IMPERATIVES; REFERENCES; CHAPTER 2 CLASSICAL NON-COMPUTER-ASSISTED CRANIOFACIAL RECONSTRUCTION; 2.1 INTRODUCTION; 2.2 CRANIOFACIAL RECONSTRUCTION; 2.3 HISTORY OF CFR; 2.4 ANTHROPOLOGICAL ANALYSIS OF THE SKULL; 2.5 SOFT-TISSUE DEPTH; 2.6 MANUAL 2D CFR; 2.6.1 SKETCHES; 2.6.2 GEORGE'S METHOD 2.7 MANUAL 3D CFR2.8 DISCUSSION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 3 THE WISDOM OF BONES: FACIAL APPROXIMATION ON THE SKULL; 3.1 INTRODUCTION; 3.2 THE PURPOSE OF FACIAL APPROXIMATION; 3.3 A HISTORIC PERSPECTIVE; 3.4 WHAT THE SKULL CAN TELL US: POSITIONAL RELATIONSHIPS BETWEEN THE SKULL AND THE FACIAL FEATURES; 3.4.1 THE RELATIONSHIP BETWEEN THE ORBIT AND THE EYE; 3.4.2 THE RELATIONSHIP BETWEEN THE BONY NASAL APERTURE AND THE NOSE; 3.4.3 THE RELATIONSHIP BETWEEN THE SKULL, THE TEETH, AND THE MOUTH; 3.4.4 THE RELATIONSHIP BETWEEN THE SKULL AND THE EARS; 3.4.5 SEXUAL DIMORPHISM IN THE FACE 3.5 BUILDING THE FACE FROM THE SKULL3.5.1 PRELIMINARY COLLECTION OF DATA; 3.5.2 CLEANING AND PREPARATION OF THE SKULL; 3.5.3 REPAIRING THE DAMAGED SKULL; 3.5.4 THE CLAY MODELING PROCEDURE; 3.6 HOW SUCCESSFUL IS FACIAL APPROXIMATION?; 3.7 COMPUTER ENHANCEMENT OF THE APPROXIMATION; 3.8 PUBLICIZING THE RESULTS; 3.9 CASE REPORTS; 3.10 CONCLUSION; REFERENCES; CHAPTER 4 THREE-DIMENSIONAL QUANTIFICATION OF FACIAL SHAPE; 4.1 INTRODUCTION; 4.2 BACKGROUND: WHY MEASURE FACES?; 4.3 BACKGROUND: WHAT IS A FACE?; 4.4 DATA ACQUISITION METHODS; 4.5 SOFTWARE TOOLS FOR DATA EXTRACTION AND ANALYSIS 4.6 QUANTITATIVE DIFFERENCES BETWEEN FACES4.7 DATA TYPES: POINT CLOUDS; 4.8 DATA TYPES: LANDMARKS; 4.9 DATA TYPES: OUTLINES; 4.10 CALCULATION OF DIFFERENCES BETWEEN FACES; 4.11 CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 5 AUTOMATIC 3D FACIAL RECONSTRUCTION BY FEATURE-BASED REGISTRATION OF A REFERENCE HEAD; 5.1 INTRODUCTION; MORPHOMETRY-BASED METHODS; MORPHOLOGY-BASED METHODS; REGISTRATION-BASED METHODS; 5.2 DESCRIPTION OF THE METHOD; 5.2.1 DATA ACQUISITION; THE ACQUISITION PROCESS; THE REFERENCE HEAD; EXPERIMENT 1: UNKNOWN CONTEMPORARY SKULL EXPERIMENT 2: PREHISTORIC SKULL OF THE MAN OF TAUTAVEL5.2.2 EXTRACTION OF FEATURE POINTS AND LINES; 5.2.3 REGISTRATION OF FEATURE LINES; 5.2.4 GEOMETRICAL NORMALIZATION; 5.2.5 COMPUTING THE 3D TRANSFORMATION; 5.3 RESULTS AND DISCUSSION; 5.3.1 THE PROBLEM OF THE VALIDATION; EXPERIMENT 1; EXPERIMENT 2; 5.3.2 DEFINING A REFERENCE HEAD; 5.3.3 MODELING THE HUMAN VARIABILITY; AGE; ETHNICITY; CORPULENCE; EXPRESSIVITY; 5.3.4 INFERRING ILL-DEFINED FACIAL PARTS OR FEATURES; 5.4 CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; PART II CONCEPTS AND CREATION OF FACIAL RECONSTRUCTION MODELS CHAPTER 6 TWO-DIMENSIONAL COMPUTER-GENERATED AVERAGE HUMAN FACE MORPHOLOGY AND FACIAL APPROXIMATION
Record Nr.	UNINA-9910458087003321

Edizione	[1st ed.]
Pubbl/distr/stampa	Burlington, MA, : Elsevier Academic Press, c2005
Descrizione fisica	1 online resource (409 p.)
Disciplina	006.4 614.1
Altri autori (Persone)	ClementJohn G MarksMurray K
Soggetto topico	Forensic osteology Facial reconstruction (Anthropology) Forensic anthropology Human face recognition (Computer science) Dead
ISBN	1-280-63793-5 9786610637935 0-08-045422-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	COVER; COMPUTER-GRAPHIC FACIAL RECONSTRUCTION; CONTENTS; FOREWORD; PREFACE; ACKNOWLEDGEMENTS; ABOUT THE EDITORS; LIST OF CONTRIBUTORS; PART I HISTORY AND BACKGROUND; CHAPTER 1 INTRODUCTION TO FACIAL RECONSTRUCTION; 1.1 BACKGROUND; 1.2 UNITING MICRO- AND MACROMORPHOLOGICAL THEMES; 1.3 FORENSIC IMPERATIVES; REFERENCES; CHAPTER 2 CLASSICAL NON-COMPUTER-ASSISTED CRANIOFACIAL RECONSTRUCTION; 2.1 INTRODUCTION; 2.2 CRANIOFACIAL RECONSTRUCTION; 2.3 HISTORY OF CFR; 2.4 ANTHROPOLOGICAL ANALYSIS OF THE SKULL; 2.5 SOFT-TISSUE DEPTH; 2.6 MANUAL 2D CFR; 2.6.1 SKETCHES; 2.6.2 GEORGE'S METHOD 2.7 MANUAL 3D CFR2.8 DISCUSSION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 3 THE WISDOM OF BONES: FACIAL APPROXIMATION ON THE SKULL; 3.1 INTRODUCTION; 3.2 THE PURPOSE OF FACIAL APPROXIMATION; 3.3 A HISTORIC PERSPECTIVE; 3.4 WHAT THE SKULL CAN TELL US: POSITIONAL RELATIONSHIPS BETWEEN THE SKULL AND THE FACIAL FEATURES; 3.4.1 THE RELATIONSHIP BETWEEN THE ORBIT AND THE EYE; 3.4.2 THE RELATIONSHIP BETWEEN THE BONY NASAL APERTURE AND THE NOSE; 3.4.3 THE RELATIONSHIP BETWEEN THE SKULL, THE TEETH, AND THE MOUTH; 3.4.4 THE RELATIONSHIP BETWEEN THE SKULL AND THE EARS; 3.4.5 SEXUAL DIMORPHISM IN THE FACE 3.5 BUILDING THE FACE FROM THE SKULL3.5.1 PRELIMINARY COLLECTION OF DATA; 3.5.2 CLEANING AND PREPARATION OF THE SKULL; 3.5.3 REPAIRING THE DAMAGED SKULL; 3.5.4 THE CLAY MODELING PROCEDURE; 3.6 HOW SUCCESSFUL IS FACIAL APPROXIMATION?; 3.7 COMPUTER ENHANCEMENT OF THE APPROXIMATION; 3.8 PUBLICIZING THE RESULTS; 3.9 CASE REPORTS; 3.10 CONCLUSION; REFERENCES; CHAPTER 4 THREE-DIMENSIONAL QUANTIFICATION OF FACIAL SHAPE; 4.1 INTRODUCTION; 4.2 BACKGROUND: WHY MEASURE FACES?; 4.3 BACKGROUND: WHAT IS A FACE?; 4.4 DATA ACQUISITION METHODS; 4.5 SOFTWARE TOOLS FOR DATA EXTRACTION AND ANALYSIS 4.6 QUANTITATIVE DIFFERENCES BETWEEN FACES4.7 DATA TYPES: POINT CLOUDS; 4.8 DATA TYPES: LANDMARKS; 4.9 DATA TYPES: OUTLINES; 4.10 CALCULATION OF DIFFERENCES BETWEEN FACES; 4.11 CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 5 AUTOMATIC 3D FACIAL RECONSTRUCTION BY FEATURE-BASED REGISTRATION OF A REFERENCE HEAD; 5.1 INTRODUCTION; MORPHOMETRY-BASED METHODS; MORPHOLOGY-BASED METHODS; REGISTRATION-BASED METHODS; 5.2 DESCRIPTION OF THE METHOD; 5.2.1 DATA ACQUISITION; THE ACQUISITION PROCESS; THE REFERENCE HEAD; EXPERIMENT 1: UNKNOWN CONTEMPORARY SKULL EXPERIMENT 2: PREHISTORIC SKULL OF THE MAN OF TAUTAVEL5.2.2 EXTRACTION OF FEATURE POINTS AND LINES; 5.2.3 REGISTRATION OF FEATURE LINES; 5.2.4 GEOMETRICAL NORMALIZATION; 5.2.5 COMPUTING THE 3D TRANSFORMATION; 5.3 RESULTS AND DISCUSSION; 5.3.1 THE PROBLEM OF THE VALIDATION; EXPERIMENT 1; EXPERIMENT 2; 5.3.2 DEFINING A REFERENCE HEAD; 5.3.3 MODELING THE HUMAN VARIABILITY; AGE; ETHNICITY; CORPULENCE; EXPRESSIVITY; 5.3.4 INFERRING ILL-DEFINED FACIAL PARTS OR FEATURES; 5.4 CONCLUSION; ACKNOWLEDGEMENTS; REFERENCES; PART II CONCEPTS AND CREATION OF FACIAL RECONSTRUCTION MODELS CHAPTER 6 TWO-DIMENSIONAL COMPUTER-GENERATED AVERAGE HUMAN FACE MORPHOLOGY AND FACIAL APPROXIMATION
Record Nr.	UNINA-9910817548503321

Autore	Streed Michael W.
Pubbl/distr/stampa	London, [England] : , : Academic Press, , 2017
Descrizione fisica	1 online resource (420 pages) : illustrations
Disciplina	363.25
Soggetto topico	Facial reconstruction (Anthropology) Face Human face recognition (Computer science)
ISBN	0-12-805279-1 0-12-805102-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910583021003321

Edizione	[1st ed. 2009.]
Pubbl/distr/stampa	Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2009]
Descrizione fisica	1 online resource (449 p.)
Disciplina	006.42
Collana	Lecture notes in artificial intelligence
Soggetto topico	Human face recognition (Computer science)
ISBN	1-282-33195-7 9786612331954 3-642-03320-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Emotions and ICT -- Cross-Fertilization between Studies on ICT Practices of Use and Cross-Modal Analysis of Verbal and Nonverbal Communication -- Theories without Heart -- Prosodic Characteristics and Emotional Meanings of Slovak Hot-Spot Words -- Affiliations, Emotion and the Mobile Phone -- Polish Emotional Speech Database – Recording and Preliminary Validation -- Towards a Framework of Critical Multimodal Analysis: Emotion in a Film Trailer -- Biosignal Based Emotion Analysis of Human-Agent Interactions -- Emotional Aspects in User Experience with Interactive Digital Television: A Case Study on Dyslexia Rehabilitation -- Investigation of Normalised Time of Increasing Vocal Fold Contact as a Discriminator of Emotional Voice Type -- Evaluation of Speech Emotion Classification Based on GMM and Data Fusion -- Spectral Flatness Analysis for Emotional Speech Synthesis and Transformation -- Verbal and Nonverbal Features of Computational Phonetics -- Voice Pleasantness of Female Voices and the Assessment of Physical Characteristics -- Technical and Phonetic Aspects of Speech Quality Assessment: The Case of Prosody Synthesis -- Syntactic Doubling: Some Data on Tuscan Italian -- Perception of Czech in Noise: Stability of Vowels -- Challenges in Segmenting the Czech Lateral Liquid -- Implications of Acoustic Variation for the Segmentation of the Czech Trill /r/ -- Voicing in Labial Plosives in Czech -- Normalization of the Vocalic Space -- Algorithmic and Theoretical Analysis of Multimodal Interfaces -- Gaze Behaviors for Virtual Crowd Characters -- Gestural Abstraction and Restatement: From Iconicity to Metaphor -- Preliminary Prosodic and Gestural Characteristics of Instructing Acts in Polish Task-Oriented Dialogues -- Polish Children’s Gesticulation in Narrating (Re-telling) a Cartoon -- Prediction of Learning Abilities Based on a Cross-Modal Evaluation of Non-verbal Mental Attributes Using Video-Game-Like Interfaces -- Automatic Sentence Modality Recognition in Children’s Speech, and Its Usage Potential in the Speech Therapy -- Supporting Engagement and Floor Control in Hybrid Meetings -- Behavioral Consistency Extraction for Face Verification -- Protecting Face Biometric DCT Templates by Means of Pseudo-random Permutations -- Facial Expressions Recognition from Image Sequences -- Czech Artificial Computerized Talking Head George -- An Investigation into Audiovisual Speech Correlation in Reverberant Noisy Environments -- Articulatory Speech Re-synthesis: Profiting from Natural Acoustic Speech Data -- A Blind Source Separation Based Approach for Speech Enhancement in Noisy and Reverberant Environment -- Quantitative Analysis of the Relative Local Speech Rate -- Czech Spontaneous Speech Collection and Annotation: The Database of Technical Lectures -- BSSGUI – A Package for Interactive Control of Blind Source Separation Algorithms in MATLAB -- Accuracy Analysis of Generalized Pronunciation Variant Selection in ASR Systems -- Analysis of the Possibilities to Adapt the Foreign Language Speech Recognition Engines for the Lithuanian Spoken Commands Recognition -- MLLR Transforms Based Speaker Recognition in Broadcast Streams.
Record Nr.	UNINA-9910483441503321