This paper presents a novel facial localization method for 3D face in the presence of facial pose and expression variation. An idea of using Multi-level Partition of Unity (MPU) Implicits in a hierarchical way is prop...
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Tracking-by-detection is a popular tracking framework nowadays. The paradigm determines that detections will bring huge impact on the final tracking result. Based on the idea, to improve the tracking precision, we pro...
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The Based on the background of anti counterfeit of commercial bills, a novel digital watermarking method is proposed in this paper. The watermarking algorithm is based on a class of orthogonal function systems - V sys...
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In this paper,a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is *** using Gaussian pyramid to process two multitemporal images respectively,two image pyra...
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In this paper,a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is *** using Gaussian pyramid to process two multitemporal images respectively,two image pyramids are *** difference pyramid images are obtained by point-by-point subtraction between the same level images of the two image *** resizing all difference pyramid images to the size of the original multitemporal image and then making product operator among them,a map being similar to the difference image is *** difference image is generated by point-by-point subtraction between the two multitemporal images *** last,the Bayes rule is used to distinguish the changed *** synthetic and real data sets are used to evaluate the performance of the proposed *** results show that the map from the proposed technique is more robust to noise than the difference image.
A novel image registration scheme is proposed. In the proposed scheme, the complete isometric mapping (Isomap) is used to extract features from the image sets, and these features are input vectors of feedforward neura...
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In the presence of non-gaussian noise, we propose a method for the detection of underwater ship-radiated signal. The wavelet decomposition of the underwater signal yields a natural tree structure, which is further mod...
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A novel segmentation algorithm for natural color image is proposed. Fibonacci Lattice-based Sampling is used to get the color labels of image so as to take advantage of the traditional approaches developed for gray-sc...
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The performance of the kernel-based learning algorithms, such as SVM, depends heavily on the proper choice of the kernel parameter. It is desirable for the kernel machines to work on the optimal kernel parameter that ...
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For medical image classification, annotations for images are laborious and expensive, which is suitable for the application of semi-supervised learning. Mainstream semi-supervised learning methods develop a consistenc...
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Hyper-graph matching algorithm describes the whole structure of object by high-order topology. Previous work has presented many methods to build and solve the problem model. This paper mainly focuses on feature descri...
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