42 results about "Matrix embedding" patented technology

The invention provides a retrospective off-respirator respiration gating method of a cardiac image sequence. According to the method, firstly the Laplacian eigenmap in a manifold learning method is used to carry out dimensionality reduction processing on a matrix with the storage of ECG gating cardiac image sequence data to obtain a low-dimensional coordinate matrix embed in a high-dimensional observation data point set, then the Euclidean distance between adjacent feature vectors in the low-dimensional coordinate matrix is calculated, the local maxima of the Euclidean distance is detected and is used as the selection position of a gated frame, and thus a gating image sequence with the removal of respiration motion artifact is obtained. According to the method, the matrix formed by the gray values of all pixels in an image is directly analyzed, and the respiration motion information in the cardiac image sequence is obtained. According to the method, only the solution of the feature value of a sparse matrix is needed, the manual involvement of an operator is not needed, and the method has the advantages of low computational complexity, high degree of automation, and low application cost. Furthermore, only local distance information is used in the method, and a gating result is not sensitive to noise.

A computer implemented method and apparatus for embedding a 2D image in a 3D model. The method comprises generating a 3-dimensional (3D) print matrix representing a 2-dimensional (2D) image, wherein the print matrix comprises a plurality of sub-regions, the base plane of each sub-region angled with respect to a top surface of the print matrix so as to produce a plurality of shades, each shade representing a shade of the 2D image; and embedding the print matrix in a (3D) model.

Systems and methods for performing matrix operations using a path-number balanced optical network are provided. The optical network is formed as an array including active optical components and passive optical components arranged at a substantially central location of the array. The optical network includes at least NM active optical components which are used to implement a first matrix of any size N×M by embedding the first matrix in a second matrix of a larger size. The optical network performs matrix-vector and matrix-matrix operations by propagating one or more pluralities of optical signals corresponding to an input vector through the optical network.

The invention relates to a method for processing software watermark information on the basis of a thread relationship. The method comprises an embedding process and an extracting process of a software watermark; the embedding process comprises the following steps: pre-processing the software watermark and a host program, generating a software watermark matrix; monitoring an execution process of the host program, and generating a thread relationship matrix; scrambling the thread relationship matrix to obtain a disorder thread relationship matrix; embedding the software watermark matrix into the disorder thread relationship matrix, carrying out inverse scrambling processing and restoring to an order thread relationship matrix; modifying a source code of the host program according to the order thread relationship matrix to obtain the final program embedded with the software watermark, wherein the extracting process is opposite to the extracting process, and the software watermark matrix is extracted after being scrambled via the thread relationship matrix embedded with the software watermark, and then the software watermark is extracted from the software watermark matrix. Compared with the prior art, the software watermark is embedded by the existing relationship between the threads in the program, and the software watermark is extracted by detecting the thread relationship in the program with the software watermark, so that the method has the advantages of high data rate, imperceptibility and resistivity.