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Facial attractiveness computation is a challenging task because of the lack of labeled data and discriminative features. In this paper, an end-to-end label distribution learning (LDL) framework with deep convolutional neural network (CNN) and geometric features is proposed to meet these two challenges. Different from the previous work, we recast this task as an LDL problem. Compared with the single...
On the basis of explaining the principles of wavelet transform, neural network, and wavelet neural network, the paper examines two methods of face recognition: one is based on neural network, the other is based on wavelet neural network. The paper also offers the features and differences based on algorithmic simulation. The result of the stimulation reveals that face recognition using wavelet neural...
In this paper, we design and implement a face-based signage interacting system, called AdYou, for mobile users using smartphones. By using the AdYou system, mobile users only need to drag the service icon on the face of a particular target in a digital signage. AdYou is able to provide diverse services to mobile users through face detection and recognition techniques. Using the intuitive way of gesture-based...
The increasing availability of 3D facial data offers the potential to overcome the difficulties inherent with 2D face recognition, including the sensitivity to illumination conditions and head pose variations. In spite of their rapid development, many 3D face recognition algorithms in the literature still suffer from the intrinsic complexity in representing and processing 3D facial data. In this paper,...
This paper describes an efficient method for modeling photo-realistic 3D human face from two orthogonal photos taken from front and side views. The method utilizes active shape model based on RGB color space to extract facial boundaries and detect feature points from the orthogonal photos. The previously constructed generic models are modified by exploiting the abilities of radial-basis function networks...
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