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In this paper, we develop a novel 3D face recognition algorithm based on Local Binary Pattern (LBP) representation under expression varieties. First, to enable the application of LBP representation framework, a special feature-based 3D face division scheme is proposed. Then, the LBP framework for 3D face representation is described, and the facial depth and normal information are extracted and encoded...
Sign language is communication tool among the deaf. With popularation of computer, internet and other electronic device, sign language expressed as 3D animation is more effective to improve the exchange and access information for the deaf. In recent years, PDA, mobile phones and other mobile device's users increase rapidly, which makes 3D animation on the mobile devices become a research hotspot....
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 the corresponding metric for facial profiles...
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 surface characters are extracted for all the...
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