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Scale Invariant Feature Transform (SIFT) has shown to be a powerful technique for general object recognition/detection. In this paper, we propose two new approaches: Volume-SIFT (VSIFT) and Partial-Descriptor-SIFT (PDSIFT) for face recognition based on the original SIFT algorithm. We compare holistic approaches: Fisherface (FLDA), the null space approach(More)
This paper proposes a framework of face recognition based on the multi-scale local structures of the face image. While some basic tools in this framework are inherited from the SIFT algorithm, this work investigates and contributes to all major steps in the feature extraction and image matching. New approaches to keypoint detection, partial descriptor and(More)
Scale Invariant Feature Transform (SIFT) has shown to be very powerful for general object detection/recognition. And recently, it has been applied in face recognition. However, the original SIFT algorithm may not be optimal for analyzing face images. In this paper, we analyze the performance of SIFT and study its deficiencies when applied to face(More)
Expression variations pose a serious problem to automatic face recognition. In this paper a robust expression invariant face recognition algorithm is proposed using a single image for training. Discrete Wavelet Transform (DWT) using Coiflets as the basis function is applied to the face images. Then SIFT descriptors of the combination of Approximation and(More)
In order to investigate the diversity of spotted fever group (SFG) Rickettsia infection in hard ticks, ticks were harvested from the forest areas in Suifenhe city, along the Chinese-Russian border and conventional PCR was carried out using universal SFG Rickettsia primers targeting gltA and ompA genes to screen for their infection with SFG Rickettsia(More)
A stabilizing observer-based control algorithm for an in-wheel-motored vehicle is proposed, which generates direct yaw moment to compensate for the state deviations. The control scheme is based on a fuzzy rule-based body slip angle (β) observer. In the design strategy of the fuzzy observer, the vehicle dynamics is represented by Takagi–Sugeno-like fuzzy(More)
Face recognition algorithms can be divided into two categories: holistic and local feature-based approaches. Holistic methods are very popular in recent years due to their good performance and high efficiency. However, they depend on careful positioning of the face images into the same canonical pose, which is not an easy task. On the contrary, some local(More)
A novel approach is proposed for correcting command points and compressing discrete axis commands into a C2 continuous curve. The relationship between values of rotation angles and tool posture errors is firstly analyzed. A segmentation method based on values of rotation angles and lengths of adjacent points is then used to subdivide these command points(More)
In this paper, by making use of the important merit that electric vehicle’s motor torque can be measured and controlled accurately, a body slip angle ( β angle) observer based on nonlinear tire model and a novel control method of body slip angle are introduced. Experimental results by UOT March II are shown to verify the effectiveness of the proposed(More)