This paper proposes a novel face recognition algorithm inspired by Human Visual System (HVS). Firstly, we learn where people look by recording observers' eye movements when they are viewing face images. We find th...
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This paper proposes a novel face recognition algorithm inspired by Human Visual System (HVS). Firstly, we learn where people look by recording observers' eye movements when they are viewing face images. We find that the observers are consistent in the regions fixated and such fixated regions are selected as the salient regions. Secondly, we represent the face images by four scales of Local Binary Gabor Patterns (LGBPs) for the salient regions whereas one scale LGBPs for the others, inspired by the fact that fovea of HVS has a higher spatial acuity than the periphery. Thirdly, we integrate the global information of face images in face recognition. The experimental results demonstrate that the proposed method learning from human beings is comparable with those learned with machine learning algorithms, which shows that the characteristics of the HVS provide valuable insights into face recognition.
In order to improve the accuracy of the image annotation, an automatic image annotation method based on mutual K-nearest neighbor graph(MKNN) is proposed. The peoposed algorithm describes the relationship between low-...
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An image-reject hairpin bandpass filter used in Ku-band low noise block (LNB) is designed, and optimized in the paper. The designed detail of the filter is explained and the image-reject is illustrated theoretically. ...
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In the paper, the method of splitting plane wave FDTD (SP-FDTD) algorithm, an efficient method of introducing plane wave source into finite difference time domain grids, is presented for solving oblique incident wave ...
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The paper presents a new efficient method of introduction of plane wave source into finite difference time domain (FDTD) grids: the method of splitting the plane-wave FDTD (SP-FDTD). The new equations for the 1-D prop...
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The high-order finite-difference time-domain (HO-FDTD) technique is used in the simulation of ground-penetrating radar modeling in three dimensions (3-D), which can improve accuracy and reduce the error caused by nume...
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With the permeation of information technology into the physical world and human society, we are on the way to a Cyber Physical Society (CPSocio). A CPSocio inter-connects the nature, the cyber space, and the society, ...
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This paper proposes an effective and efficient pedestrian detection method which is based on 2nd order statistics image representation and linear Support Vector Machine classifiers (SVMs). After arranging a sample ima...
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Resource Space Model (RSM) is a semantic data model for specifying, organizing, and retrieving resources based on classification of resources. An efficient index mechanism is critical for its implementation. However, ...
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Natural physical space provides material basis for the birth and evolution of human beings and civilization. The progress of human society has created the cyber space. With the rapid development of information technol...
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