Real-time Face Recognition Using SIMD and VLIW Architecture
Srinivasa Kumar Devireddy, Iyyanki V. Murali Krishna, Venkateswara Rao Tiruveedhula · Journal of Computing and Information Technology · 2006
There is a rapidly growing demand for using intelligent cameras for various applications in surveillance and identification.Most of these applications have real-time demands and require huge processing capacity.Face recognition is one of those applications highly in demand.In this paper we show that we can run face recognition in real-time by implementing the algorithm on an architecture which combines a massively parallel processor with a high performance Digital Signal Processor.In this paper we focus on the INCA+ intelligent camera.It contains a CMOS sensor, a Single Instruction Multiple Data (SIMD) processor [1] and a Very Long Instruction Word (VLIW) processor.The SIMD processor enables high-performance pixel processing and detects the interesting (face) regions from the video.It sends the regions of interest to the VLIW processor, which performs the actual face recognition using a neural network.With this architecture we perform face recognition from a 5-persons database at more than 200 faces per second.The performance is better than most recent high-end professional systems [2].