Comparative Analysis of Facial Expression Detection Techniques Based on Neural Network
| Autor: | Vikas Tripathi, Yogendra Mohan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Facial expression
Environmental Engineering Artificial neural network Computer science business.industry General Chemical Engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Pattern recognition Hardware and Architecture Computer Science (miscellaneous) Artificial intelligence business Biotechnology |
| Zdroj: | International Journal of Engineering & Technology. 7:866 |
| ISSN: | 2227-524X |
| DOI: | 10.14419/ijet.v7i4.38.27597 |
| Popis: | Face detection is a critical part of vision and a robot needs to identify a human accurately. A human face undergoes several states of facial expression in a day. Many object detection techniques are applied to identify a facial expression from a digital image or a video frame. Each object detection technique has its own benefits. The overall objective of this paper is to explore the benefits and limitation of existing techniques and provide a comparative analysis. Neural network based facial expression detection technique has demonstrated potential benefits over existing facial expression detection techniques. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|