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Biometric information security is a relatively new research interest in the field of biometric authentication. In view of the special relationship of human face and human ear in physiological position, the fusion of face and ear is a natural form of multimodal authentication system used for non-intrusive personal identification. This paper proposes a template protection method for multimodal biometric...
Detecting a set of facial points is a crucial phase for facial expression analysis and face recognition, yet the robust facial point detector is yet to be developed. In this paper we present a method based on Active Shape Model of Subsets (ASMS) learning from 3D models to drastically reduce the time needed to search for a point's location and increase the accuracy and robustness of the algorithm....
One of the main challenges in face recognition is represented by pose and illumination variations that drastically affect the recognition performance. This paper presents a new approach for face recognition based on Regularized-Labeled Linear Discriminant Analysis (RL-LDA) learning from 3D models. In the training stage, 3D face information is exploited to generate a large number of 2D virtual images...
Existing work of 3D morphable models mainly focuses on 3D face recognition and reconstruction but ignores the ear regions which are usually captured together with the face images. However, ears are almost rigid structures, which are relatively stable to age growth and resist the facial expression variations, making themselves an effective supplement of faces for personal identification. Hence, we...
Collapse accident frequently occurs at tunnel export. In order to reveal the mechanism of this kind of tunnel collapse, three-dimensional elastic-plastic calculation model is established according to Maanshan mountain tunnel. Thick soft overburden, untimly support and rainwater infiltration are considered as the main influencing factors of the tunnel collapse. Its special geological condition is determinative...
This paper defines the concept of E-interview, analyze the advantage of E-interview and elaborate the reason of the application scope of the E-interview in the current personnel selection. This paper not only points out the important position and the applicable scope of the E-interview in the current personnel select, but also does the basic estimate to the application foreground of the E-interview...
In this paper, we propose the ear detection approach under complex background which has two stages: off-line cascaded classifier training and on-line ear detection. In the stage of off-line training, considering the unique contour, the concave and convex of the ear, we apply the extended haar-like features to construct the space of the weak classifiers using the nearest neighbor norms. And then we...
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