The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we proposed a novel scheme to recognize 3D face based on partial differential equations (PDE). We proposed a novel distance between two boundary curves using the difference of the corresponding Fourier series coefficients. The distance of each adjacent boundary curves is taken as the feature of 3D face for recognition. Moreover, resemblance distance algorithm is applied for recognition...
Dimensionality reduction algorithms, which aim to select a small set of efficient and discriminant features. In this paper, a new manifold learning algorithm, called Uncorrelated Locality Information Projection (ULIP), to identify the underlying manifold structure of a data set. ULIP considers both the between-class scatter and the within-class scatter in the processing of manifold learning. Equivalently,...
In pattern recognition, feature extraction techniques are widely employed to reduce the dimensionality of data. In this paper, a new manifold learning algorithm, called Enhanced Locality Preserving Projections, to identify the underlying manifold structure of a data set. ELPP considers both the between-class scatter and the within-class scatter in the processing of manifold learning. Equivalently,...
In order to improve the watermark invisibility and robustness simultaneously, a robust audio watermarking scheme with self-sychronization which based on discrete wavelet transforming stable feature was proposed. When audio is under attacks, the absolute average value of low frequency sub-bands of discrete wavelet is a steady feature. Thus taking this absolute average value as flags of watermark boundary...
In order to avoid pixel expansion and contrast of the gathered secret image compromise, an easier visual cryptographic scheme, which was called visual cryptographic of interleaving with sub-block coding method, was presented. Instead of using m subpixels to represent one pixel, according to a key matrix, the secret image was divided into 2 shadow images, in which there were some background pixels...
The objective of this work is the detection of object classes. An improved method is used for object detection and segmentation in real-world multiple-object scenes. It has two stages. In the first stage this method develops a novel technique to extract class-discriminative boundary fragments and the texture features near the boundary, and then boosting is used to select discriminative boundary fragments...
In this paper, we propose a new manifold learning algorithm, called Uncorrelated Locality Preserving Projections, to identify the underlying manifold structure of a data set. ULPP tries to find the subspace that best discriminates different face classes by maximizing the between-class distance, while minimizing the within-class distance. Different from Principal component analysis(PCA)that aims to...
Dimensionality reduction algorithms, which aim to select a small set of efficient and discriminant features. In this paper, a new manifold learning algorithm, called uncorrelated maximum locality preserving projections(UMLPP), to identify the underlying manifold structure of a data set. UMLPP considers both the between-class scatter and the within-class scatter in the processing of manifold learning...
Temporal synchronization is one of the challenges for blind watermark detection. If the detector??s input is watermarked but synchronization fails, then the embedded watermark will not be detected. In this paper, a novel video watermarking algorithm is proposed based on data statistics classification of motion vectors. Through analyzing data statistics of motion vectors?? magnitude, we classify the...
In order to merge information from multi-sensor adequately, this paper analyzed the typical remote sensing image fusion methods. It proposed a new fusion method based on window local deviation using WPT (wavelet packet transform). WPT decomposed an image into low frequency hand and high frequency hand on different levels; local window and local sub-window statistic in the wavelet domain were used...
One of the challenges in blind watermark detection is synchronization. Synchronization is the process of identifying the coordinates of an embedded watermark and is crucial in successful watermark detection. If the detectorpsilas input is watermarked but synchronization fails, then the embedded watermark will not be detected. In this paper, novel video watermarking algorithm is proposed basing on...
The objective of this work is the detection of object classes. An improved method is used for object detection and segmentation in real-world multiple-object scenes. It has two stages. In the first stage this method develops a novel technique to extract class-discriminative boundary fragments, and then boosting is used to select discriminative boundary fragments (weak detectors) toform a strong "boundary-fragment-model"...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.