Human Face Recognition Using Third-Order Synthetic Neural Networks: 410 - Rilegato

Uwechue, Okechukwu A.; Pandya, Abhijit S.

Rilegato

ISBN 10: 0792399579 ISBN 13: 9780792399575

Casa editrice: SPRINGER NATURE, 1997

Riassunto

Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem.
Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

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Contenuti

Preface. List of Illustrations. List of Tables. 1. Introduction. 2. Face Recognition. 3. Implementation of Invariances. 4. Simple Pattern Recognition. 5. Facial Pattern Recognition. 6. Network Training. 7. Conclusions and Contributions. 8. Future Work. Index.

Dettagli dell?edizione

• Editore: SPRINGER NATURE
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0792399579
• ISBN 13: 9780792399575
• Rilegatura: Copertina rigida
• Numero di pagine: 123
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania