Computational intelligence in multi-feature visual pattern recognition: hand posture and face recognition using biologically inspired approaches
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore [u.a.]
Springer
2014
|
| Schriftenreihe: | Studies in computational intelligence
556 |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9789812870568 |
| DOI: | 10.1007/978-981-287-056-8 |
Internformat
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Datensatz im Suchindex
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| adam_text | COMPUTATIONAL INTELLIGENCE IN MULTI-FEATURE VISUAL PATTERN RECOGNITION
/ PISHARADY, PRAMOD KUMAR
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PART I COMPUTATIONAL INTELLIGENCE IN VISUAL PATTERN RECOGNITION
1 VISUAL PATTERN RECOGNITION
2 COMPUTATIONAL INTELLIGENCE TECHNIQUES
3 MULTI-FEATURE PATTERN RECOGNITION
PART II FEATURE SELECTION AND CLASSIFICATION
4 FUZZY-ROUGH DISCRIMINATIVE FEATURE SELECTION AND CLASSIFICATION
5 HAND POSTURE AND FACE RECOGNITION USING FUZZY-ROUGH APPROACH
6 BOOSTING BASED FUZZY-ROUGH PATTERN CLASSIFIER
PART III BIOLOGICALLY INSPIRED APPROACHES IN HAND POSTURE RECOGNITION
7 HAND POSTURE RECOGNITION USING NEUROBIOLOGICALLY INSPIRED FEATURES
8 ATTENTION BASED SEGMENTATION AND RECOGNITION (ASR) ALGORITHM FOR HAND
POSTURES AGAINST COMPLEX BACKGROUNDS
APPENDICES
INDEX
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
COMPUTATIONAL INTELLIGENCE IN MULTI-FEATURE VISUAL PATTERN RECOGNITION
/ PISHARADY, PRAMOD KUMAR
: 2014
ABSTRACT / INHALTSTEXT
THIS BOOK PRESENTS A COLLECTION OF COMPUTATIONAL INTELLIGENCE ALGORITHMS
THAT ADDRESSES ISSUES IN VISUAL PATTERN RECOGNITION SUCH AS HIGH
COMPUTATIONAL COMPLEXITY, ABUNDANCE OF PATTERN FEATURES, SENSITIVITY TO
SIZE AND SHAPE VARIATIONS AND POOR PERFORMANCE AGAINST COMPLEX
BACKGROUNDS. THE BOOK HAS 3 PARTS. PART 1 DESCRIBES VARIOUS RESEARCH
ISSUES IN THE FIELD WITH A SURVEY OF THE RELATED LITERATURE. PART 2
PRESENTS COMPUTATIONAL INTELLIGENCE BASED ALGORITHMS FOR FEATURE
SELECTION AND CLASSIFICATION. THE ALGORITHMS ARE DISCRIMINATIVE AND
FAST. THE MAIN APPLICATION AREA CONSIDERED IS HAND POSTURE RECOGNITION.
THE BOOK ALSO DISCUSSES UTILITY OF THESE ALGORITHMS IN OTHER VISUAL AS
WELL AS NON-VISUAL PATTERN RECOGNITION TASKS INCLUDING FACE RECOGNITION,
GENERAL OBJECT RECOGNITION AND CANCER / TUMOR CLASSIFICATION. PART 3
PRESENTS BIOLOGICALLY INSPIRED ALGORITHMS FOR FEATURE EXTRACTION. THE
VISUAL CORTEX MODEL BASED FEATURES DISCUSSED HAVE INVARIANCE WITH
RESPECT TO APPEARANCE AND SIZE OF THE HAND, AND PROVIDE GOOD INTER CLASS
DISCRIMINATION. A BAYESIAN MODEL OF VISUAL ATTENTION IS DESCRIBED WHICH
IS EFFECTIVE IN HANDLING COMPLEX BACKGROUND PROBLEM IN HAND POSTURE
RECOGNITION. THE BOOK PROVIDES QUALITATIVE AND QUANTITATIVE PERFORMANCE
COMPARISONS FOR THE ALGORITHMS OUTLINED, WITH OTHER STANDARD METHODS IN
MACHINE LEARNING AND COMPUTER VISION. THE BOOK IS SELF-CONTAINED WITH
SEVERAL FIGURES, CHARTS, TABLES AND EQUATIONS HELPING THE READER TO
UNDERSTAND THE MATERIAL PRESENTED WITHOUT INSTRUCTION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Pisharady, Pramod Kumar |
| author_facet | Pisharady, Pramod Kumar |
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| indexdate | 2024-08-01T10:55:48Z |
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| isbn | 9789812870568 |
| language | English |
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| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Pisharady, Pramod Kumar Computational intelligence in multi-feature visual pattern recognition hand posture and face recognition using biologically inspired approaches Studies in computational intelligence |
| title | Computational intelligence in multi-feature visual pattern recognition hand posture and face recognition using biologically inspired approaches |
| title_auth | Computational intelligence in multi-feature visual pattern recognition hand posture and face recognition using biologically inspired approaches |
| title_exact_search | Computational intelligence in multi-feature visual pattern recognition hand posture and face recognition using biologically inspired approaches |
| title_full | Computational intelligence in multi-feature visual pattern recognition hand posture and face recognition using biologically inspired approaches Pramod Kumar Pisharady ; Prahlad Vadakkepat ; Loh Ai Poh |
| title_fullStr | Computational intelligence in multi-feature visual pattern recognition hand posture and face recognition using biologically inspired approaches Pramod Kumar Pisharady ; Prahlad Vadakkepat ; Loh Ai Poh |
| title_full_unstemmed | Computational intelligence in multi-feature visual pattern recognition hand posture and face recognition using biologically inspired approaches Pramod Kumar Pisharady ; Prahlad Vadakkepat ; Loh Ai Poh |
| title_short | Computational intelligence in multi-feature visual pattern recognition |
| title_sort | computational intelligence in multi feature visual pattern recognition hand posture and face recognition using biologically inspired approaches |
| title_sub | hand posture and face recognition using biologically inspired approaches |
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