Real-Time Facial Feature Tracking on a Mobile Device
| Autor: | Philip A. Tresadern, Timothy F. Cootes, Mircea Ionita |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
business.industry
Computer science Computation Teleconference Active appearance model Artificial Intelligence Feature (computer vision) Face (geometry) Pattern recognition (psychology) Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Projection (set theory) Mobile device Software |
| Zdroj: | International Journal of Computer Vision. 96:280-289 |
| ISSN: | 1573-1405 0920-5691 |
| Popis: | This paper presents an implementation of the Active Appearance Model that is able to track a face on a mobile device in real-time. We achieve this performance by discarding an explicit texture model, using fixed-point arithmetic for much of the computation, applying a sequence of models with increasing complexity, and exploiting a sparse basis projection via Haar-like features. Our results show that the Haar-like feature basis achieves similar performance to more traditional approaches while being more suitable for a mobile device. Finally, we discuss mobile applications of the system such as face verification, teleconferencing and human-computer interaction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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