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241 results about "Depth dimension" patented technology

Method and device for obtaining transverse relaxation time spectrum by depth-dimension nuclear magnetic resonance inversion

The invention provides a method and device for obtaining a transverse relaxation time spectrum by depth-dimension nuclear magnetic resonance inversion. The method comprises the following steps of: for the spin echo string data of the stratum on multiple depth points, replacing the pore volume percentage of the pore with relaxation time T2 by multiple B spline primary functions on the T2 dimension, and expanding the data covering the stratum information on multiple depth points with a Walsh function on the depth dimension; constructing a kernel function for joint inversion according to the measurement parameter of an actual logging instrument and a longitudinal response function, and performing joint inversion to obtain the response parameter; and substituting the response parameter into the B spline primary function and the Walsh series of the Walsh function to obtain a nuclear magnetic resonance T2 spectrum on multiple depth points. Through the scheme, the obtained nuclear magnetic resonance T2 spectrum has relatively high longitudinal resolution, and a double sampling interval can be obtained for the horizontal layered stratum.
Owner:CHINA UNIV OF PETROLEUM (BEIJING)

360-degree three-dimensional display device and method based on splicing of multiple high-speed projectors

ActiveCN104298065AIncrease horizontal spaceIncrease vertical spaceProjectorsStereoscopic photographyImage resolutionDepth of field
The invention discloses a 360-degree three-dimensional display device based on splicing of multiple high-speed projectors. The 360-degree three-dimensional display device comprises an orientation diffuser screen set, a rotating device set, a rotating detection module, a projection splicing integration module, image storage modules and the N high-speed projectors. An algorithm of splicing of the multiple high-speed projectors is used for calculation to obtain a two-dimensional frame image sequence projected by each high-speed projector in real time, and the two-dimensional frame image sequences are sent to all the image storage modules. Under modulation of the rotating detection module, all the high-speed projectors are controlled to be matched with rotation of one set or more sets of orientation diffuser screens, splicing and synthesizing imaging of projection areas of all the high-speed projectors are achieved, and the space resolution ratio of three-dimensional display is improved in a multiplied mode. The algorithm based on splicing of the high-speed projectors is matched with the orientation diffuser screens for imaging, the three-dimensional imaging space is enlarged, the transverse dimension, the longitudinal dimension and the field depth dimension of a three-dimensional image are increased, and spatial expansion of three-dimensional display of the large-dimension space is achieved.
Owner:ZHEJIANG UNIV

Face detection method and system based on image on-line learning

The invention discloses a face detection method and system based on image on-line learning. The face detection method based on image on-line learning comprises the steps of (1) preprocessing, wherein illumination compensation and graying processing are carried out on an image to be detected, image enhancement is carried out, nonlinear smooth filtering is carried out, denoising is carried out on the image, gray levels of pixels are normalized to obtain a high-quality gray level image, and then size normalization processing and edge detection processing are carried out; (2) carrying out face gesture detection, wherein the positions of the human eyes are determined, a human face area is divided, the rotation angle of a human face in the pitching dimension, the rotation angle of the human face in the depth dimension and the rotation angle of the human face in the plane dimension are detected, and whether the human face has an expression or not is automatically judged; (3) carrying out face detection, wherein the position of the human face in the image is determined, organs of the human face are located, and gray features of the image are selected, and are transmitted to a detection template which is trained in an off-line mode to carry out judgment; (4) updating, wherein the image which is processed through detection serves as a new sample to be applied to learning of a multi-layer cascade AdaBoost classifier, and the weight of set characteristic values of the multi-layer cascade AdaBoost classifier is updated. According to the face detection method and system based on image on-line learning, the accuracy rate of face detection can be improved.
Owner:SHANGHAI JUNYU DIGITAL TECH
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