Hengliang Tang

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In this paper, a novel face representation approach, Haar Local Binary Pattern histogram (HLBPH), is proposed to represent the face images. First, the face image is decomposed into four-channel subimages in frequency domain by Haar wavelet transform, and then the LBP operator is applied on each subimage to extract the face features. After that, a novel Haar(More)
In this paper, we present a novel 3D face recognition algorithm based on the sparse representation. First, a 3D face normalization approach is proposed to deal with the raw faces. Then, three types of facial geometrical features are extracted to describe the 3D faces. Meanwhile, in order to guarantee the feasibility of the sparse representation framework(More)
Vehicular Ad Hoc Network (VANET) is a recently developed technology to achieve traffic safety and efficiency purposes through inter-vehicle communications, where the routing protocols in VANETs play a very important role. However, one that fits all kinds of scenarios and applications does not exist for now. Insufficient forwarding nodes and network(More)
In this paper, a novel 3D face recognition algorithm based on facial profile information is presented, which needn’t the training phase, and consumes little computation cost. We first extract and normalize the 3D face profiles, and then, the shape and texture information of the profiles are used to represent 3D faces. After that, three representations and(More)
Automatic nodes location is a key supporting technology in WSN, and gains much more attention with the development of the modern network technology and wireless communication technology. In this paper, a novel locating method based on correlation analysis is presented. First, in order to get the accurate and valid data, the normalization procedure is(More)
The 3D face recognition attracts more and more attention recently, because of its insensitivity to the variance of illumination and pose. In this paper, a novel self-adaptive 3D face recognition algorithm based on face feature division is proposed. This algorithm first divides the 3D face into some block regions based on face features, and then, four face(More)