An face-based visual fixation system for prosthetic vision

作者：He Xuming^*; Kim Junae; Barnes Nick

来源：34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, 2012-08-28 to 2012-09-01.

DOI：10.1109/EMBC.2012.6346590

• Expression recognition
• Face localization
• Fixation systems
• Human faces
• Image streams
• Limited resolution
• Low resolution
• Object Detection
• Pose variation
• Prosthetic devices
• Prosthetic vision
• Quantitative result
• Temporal information

Recent studies have shown the success of face recognition using low resolution prosthetic vision, but it requires a zoomed-in and stably-fixated view, which will be challenging for a user with the limited resolution of current prosthetic vision devices. We propose a real-time object detection and tracking system capable of fixating human faces. By integrating both static and temporal information, we are able to improve the robustness of face localization so that it can fixate on faces with large pose variations. Our qualitative and quantitative results demonstrate the viability of supplementing visual prosthetic devices with the ability to visually fixate objects automatically, and provide a stable zoomed-in image stream to facilitate face and expression recognition.

• 出版日期2012