Review on Human face and Expression Recognition
| Autor: | Neeta Tripathi, Dr.Dolly Reney |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Facial expression
Computer science Mechanical Engineering Speech recognition Metals and Alloys Facial recognition system 030507 speech-language pathology & audiology 03 medical and health sciences Expression (architecture) Mechanics of Materials Face (geometry) Feature (machine learning) 0305 other medical science Face detection Representation (mathematics) Human voice |
| Zdroj: | CSVTU International Journal of Biotechnology Bioinformatics and Biomedical. 3:31-40 |
| ISSN: | 2455-5762 |
| DOI: | 10.30732/ijbbb.20180303001 |
| Popis: | There are the different popular algorithms and techniques available which are used for implementation of face and expression recognition all having respective advantages and disadvantages. Some of the algorithms improve the efficiency of face and expression recognition, under the different varying illumination and expression conditions for input source. The main steps for face recognition are Feature representation and classification. The different authors have described different novel approaches for face and emotion recognition. Present review paper discrebie the different methods and techniques used to identified the person with the facial expression and person emotion with the voice of the person. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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