Interaction with Three-Dimensional Gesture and Character Input in Virtual Reality Recognizing gestures in different directions and improving user input

Hand gesture recognition is a key aspect to make interaction of virtual reality more convenient. A good way to make users’ idea understood by computers including characters input plays an important role in interaction. Current methods of hand gesture and character input are too limited to make full use of powerful capacity that computers have nowadays. In this paper, we propose a natural 3D input method based on stereo cameras as an interface of human and machine. We segment the hand out based on skin-color detection and train a neural network based on Hu moments to recognize valid and invalid gestures defined in our paper. For valid gestures, we implement stereo matching and 3D coordinate calculation and line them up to formulate characters. Our method can robustly recognize 3D gestures in different directions and make users’ input more free compared with traditional ways

State of the Art in Face Recognition

Notwithstanding the tremendous effort to solve the face recognition problem, it is not possible yet to design a face recognition system with a potential close to human performance. New computer vision and pattern recognition approaches need to be investigated. Even new knowledge and perspectives from different fields like, psychology and neuroscience must be incorporated into the current field of face recognition to design a robust face recognition system. Indeed, many more efforts are required to end up with a human like face recognition system. This book tries to make an effort to reduce the gap between the previous face recognition research state and the future state