ロード中...
Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines
Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully automatic facial expression recognition in facial image sequences. As the facial expression evolves over time facial landmar...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Molecular Diversity Preservation International (MDPI)
2013
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3715259/ https://ncbi.nlm.nih.gov/pubmed/23771158 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s130607714 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|