Face detection and recognition for smart glasses
Face detection and recognition are key components in multiple camera-based devices and applications. Smart glasses are a type of optical head mounted displays that integrate first-person cameras and hands free displays with immediate access to processing power able to analyze first person images in real time with hands free operation. In this context, we have constructed an application prototype that detects and recognizes faces in real-time, and runs independently on the device. We provide a description of the embedded implementation at a system-level where we highlight the application development challenges and trade-offs that need to be dealt with battery powered wearable devices. The implementation includes a parallel pipeline that reduces the latencies of the application.