A Survey on Face Detection and Recognition using CUDA

Abstract

Face recognition and Face detection techniques have gained a lot of observation in past few decades. Identifying criminals, tracking attendance, disease diagnosis, and personal identification are few applications of face detection and face recognition. Face recognition requires large computation due to the dimensional structure of the face and computation cost increases due to a large number of the image dataset. CUDA has removed the obstacle by computing image data in parallel rather than sequentially. The focus of this survey is to study the techniques used in face detection and recognition using CUDA. As a result of the research, it was discovered that CUDA allows processing to be done faster for face detection and face recognition operations.