This experimental investigation is focused to assess a Tunnel Magneto-Resistive (TMR) and Anisotropic Magneto-Resistive (AMR) sensor for power system magnetic field measurement applications as in current sensing, tran...
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This paper presents an imaging method for 360-degree panoramic view based on four wide angle cameras. In order to complete the image mosaic, all the parameters such as focal length, principal point and distortion coef...
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Manipulator's obstacle avoidance is always a challenging topic in robotics. With the concern of the safety problems in human working environment, an improved obstacle avoidance method is proposed based on the gene...
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This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,e...
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ISBN:
(纸本)9781479970186
This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,etc are calibrated by our proposed calibration ***,our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion *** proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each ***,panoramic image is composed by image registration and image *** results show that this method is valid.
Pedestrian detection is a hot research topic in pattern recognition and computer vision. We combine MBBP（Multiscale Block Local Binary Patterns）feature and Histogram Intersection Kernel SVM and apply them to pedestr...
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Pedestrian detection is a hot research topic in pattern recognition and computer vision. We combine MBBP（Multiscale Block Local Binary Patterns）feature and Histogram Intersection Kernel SVM and apply them to pedestrian detection. MBBP features, which make up for the lack of LBP（Local Binary Patterns） features in robustness, is a kind of effective texture description *** Intersection Kernel Support Vector Machine has the advantage of fast classification and high accuracy in object recognition. It can be used for further enhancing the system's real-time performance. The experiments show that the proposed approach has higher precision than the classical algorithm HOG+Linear SVM and the HOGBP Features Fusion tested on the established benchmarking datasets—INRIA.
K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper...
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K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper, we develop a density-based k-means clustering. First, we calculate the density and distance for each feature vector. Then choose those features with high density and large distance as initial cluster centers. The remaining steps are the same with k-means. In order to evaluate our proposed algorithm, we have conducted several experiments on twoscene image datasets: Fifteen Scene Categories dataset and UIUC Sports Event dataset. The results show that our proposed method has good repeatability. Compared with the traditional k-means clustering, it can achieve higher classification accuracy when applied in multiclass scene image classification.
There is a growing interest in subspace learning techniques for face recognition. This paper proposes a novel face recognition method based on MPCA with Gabor tensor representation. Although the Gabor face representat...
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There is a growing interest in subspace learning techniques for face recognition. This paper proposes a novel face recognition method based on MPCA with Gabor tensor representation. Although the Gabor face representation has achieved great success in face recognition, the excessive dimension of the data space often brings the algorithms into the curse of dimensionality dilemma. In this paper, we propose a 3rd-order Gabor tensor representation derived from a complete response set of 40 Gabor filters. Then MPCA(Multi-linear Principal Component Analysis) is applied to each Gabor tensor to extract three discriminative *** dimension reduction is done in such a way that most useful information is retained. The subspaces are finally integrated for classification. Experimental results on ORL database show promising results of the proposed method.
In this paper,an adaptive approximation image reconstruction method based on orthogonal triangular with column pivoting(QRCP) decomposition algorithm is proposed for single sample problem in face *** using QRCP the si...
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ISBN:
(纸本)9781479947249
In this paper,an adaptive approximation image reconstruction method based on orthogonal triangular with column pivoting(QRCP) decomposition algorithm is proposed for single sample problem in face *** using QRCP the single sample and its transpose are decomposed to two sets of basis *** an adaptive approximation image reconstruction method is proposed to reconstruct two approximation images from the two basis image sets *** single training sample and its two approximation images of each object form a new training set,which can make the fisher linear discriminant analysis(FLDA) be applied to single sample problem in face *** performance of the proposed method is verified on Yale,FERET,and ORL face *** experimental results indicate that the proposed method is efficient and outperforms some existing methods which are proposed to overcome the single sample problem.
Feature descriptor based methods(*** Binary Patterns,Local Ternary Patterns) have gained encouraging results in face *** one needs to manually set the threshold in Local Ternary Patterns(LTP).The threshold in LTP is n...
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ISBN:
(纸本)9781479947249
Feature descriptor based methods(*** Binary Patterns,Local Ternary Patterns) have gained encouraging results in face *** one needs to manually set the threshold in Local Ternary Patterns(LTP).The threshold in LTP is not data adaptive and not robust to *** some cases,we may not give a suitable threshold for *** by Weber's Law,here a data adaptive threshold strategy is prosed for LTP and an enhanced LTP is given for face *** evaluate the enhanced LTP on ORL and FERET face databases and the results demonstrate that the enhanced LTP significantly improves the performances.
The problem of how to emulate a manual welding process by two cooperative robotic manipulators is investigated in this *** emulating process is intrinsically a trajectory planning process for the two cooperative *** o...
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ISBN:
(纸本)9781479947249
The problem of how to emulate a manual welding process by two cooperative robotic manipulators is investigated in this *** emulating process is intrinsically a trajectory planning process for the two cooperative *** of skilled welders and technical requirements in a welding process have been modeled and integrated into the robot trajectory planning *** model of trajectory planing for two cooperative robots doing a welding task is in a constrained optimization form.A Genetic Algorithm solver has been adopted to solve such an optimization ***-connect-pipe welding experiment has been carried out at the end of the paper and the weld results verified the effectiveness of our method.
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