30results about How to "Troubleshoot rebuild issues" patented technology

The invention discloses a sparse drive SAR image reconstruction regularization parameter automatic selection method. Selection of regularization parameters is a quite important issue in regularization image reconstruction. Conventional selection methods are limited in the capacity of selection of non-quadratic regularization parameters, and artificial selection of the regularization parameters is often required in order to obtain high-quality reconstruction images. In order the solve the problem, the invention provides the sparse drive SAR image reconstruction regularization parameter automatic selection numerical computation method on the basis of the research of an L curve method. The beneficial effects of the method are that automatic selection of the sparse drive SAR image reconstruction regularization parameters is realized. Computational amount is low in solving the sparse drive SAR image reconstruction regularization parameters through the method, and noise suppression and feature preservation are greatly balanced so that the more reasonable reconstruction images can be obtained.

A method and apparatus of depth coding using depth modelling mode 1 (DMM1) are disclosed to reduce the wedgelet pattern table size. In one embodiment, a size-reduced wedgelet pattern for a reduced wedgelet pattern table is generated by excluding at least one non-corner adjacent-edge sample for adjacent-edge partition or at least one opposite-edge sample for opposite-edge partition from starting positions or from ending positions. The reduced wedgelet pattern table may also include at least one omitted wedgelet pattern in at least one wedgelet direction category. For the adjacent-edge partition, the starting positions and the ending positions may correspond to every other even non-corner adjacent-edge samples in a first and a second adjacent edges respectively. For the opposite-edge partition, the starting positions correspond to every other even opposite-edge samples in a first opposite edge and the ending positions include all opposite-edge samples in a second opposite edge.

The invention relates to a method for the three-dimensional reconstruction of a straight-line optical flow field based on an intelligent optimization algorithm, which is characterized by comprising the following steps of: shooting at least three continuous frames of images of an object in a scene by a fixed camera to form an image sequence, extracting the straight-line profile of the object in the scene and taking a straight line as a characteristic; under a perspective projection model, eliciting a relationship between the motion parameter of the straight-line profile of a moving rigid object in a 3D space and a two-dimensional straight-line optical field on a projection image of the moving rigid object, expressing the relationship by a straight-line optical flow equation group and constructing a physical model and a mathematical model of a three-dimensional reconstruction algorithm. The invention has the advantages of realizing the three-dimensional reconstruction and the moving target division of an object with a straight-line profile in a scene quickly, solving the problems of robustness of the three-dimensional reconstruction algorithm and reconstruction of a shielding boundary of the scene effectively and enhancing the accuracy of three-dimensional reconstruction effectively.

The invention discloses an urban scene reconstruction method and system, and relates to the technical field of image processing. The method comprises the steps: firstly extracting sufficient and reliable candidate space planes from the spatial points of an urban scene image through employing a spatial plane fitting method based on connected domain detection; secondly distributing the candidate space planes for all segmented regions obtained through the segmenting of each urban scene image under the frame of minimum MRF energy. The method can iron out the defects that a conventional method is poor in reliability and not complete in reconstruction scene, and is higher in calculating efficiency.

The invention provides an industrial cone beam CT reconstruction method in offset scanning mode. In order to realize CT reconstruction in offset sample stage scanning mode, the actual offset sample stage CT scanning mode is converted into offset by establishing a virtual detector. Detector CT scanning method, and finally use the existing Wang-FDK offset detector scanning mode reconstruction method to obtain accurate CT images of the inspected sample. The invention solves the problem of CT reconstruction in the scanning mode of the offset sample stage, greatly increases the imaging field of view of the CT system without changing the geometric layout of standard cone-beam CT scanning, and has good engineering application value.

The invention discloses a human body geometry reconstruction method based on Euler field deformation constraints, comprising the following steps: taking a target human body grid as a data source, extracting human body feature points by using a random forest regression method, and calculating to obtain a target human body skeleton node; Point-driven skeleton deformation, using LBS method to drive mesh deformation, so that the template model and the target model pose roughly aligned; based on the local field generated by HRBF, perform rigid transformation driven by local shape difference; perform regional expansion based on local shape driving and shrinkage; based on SDF, optimize the target energy function in the Euler field based on target data constraints, human body deformation constraints, and level set characteristic constraints, calculate the deformation vector field to obtain the SDF deformation result, and drive the template grid and target accordingly. The shape of the model is aligned to achieve human reconstruction. The invention improves the robustness and efficiency of the three-dimensional human body structural reconstruction, and satisfies the needs of human body reconstruction for rough data.

The invention discloses a compact CT detector image reconstruction method, a reconstruction device and a storage medium. The method comprises the steps of: using a compact detector to perform circular scanning or helical scanning on an object to be detected on a hospital bed to obtain initial projection data; Data rearrangement rearranges the initial projection data into traditional detector sampling; weights the rearranged projection data; filters the weighted projection data after weighting processing; performs weighted back projection on the filtered projection data to obtain reconstruction image. The present invention rearranges the initial projection data into traditional detector samples through data rearrangement, changes the pre-weighted and weighted back-projection weights of the original filtered back-projection reconstruction algorithm, and effectively suppresses pseudo to improve the quality of the reconstructed image. The invention is helpful for reducing the volume of the CT mobile system and promoting the application of compact detectors in clinical departments and intensive care units.

An acoustic reconstruction method for the three-dimensional temperature field in a furnace considering the bending behavior of sound rays. Several acoustic transceivers are arranged on the surface of the three-dimensional furnace, and the furnace is divided into n grids, and m effective acoustic paths are formed between the acoustic transceivers , passing through each grid inside the furnace. Calculate the length of each path passing through each grid in the case of straight-line propagation of sound waves to form a matrix L. The propagation time of the sound wave on each path is measured to form a matrix t, and the sound velocity and temperature at the geometric center point of each grid are reconstructed. Reconstruct the temperature field according to the obtained temperature, use the Fermat principle to obtain the sound ray trajectory of each path, and calculate the length of each path passing through each grid to form a reconstruction matrix L' considering the sound ray bending. Then, the sound velocity and temperature at the geometric center point of each grid are reconstructed from the matrix L' and matrix t. Repeat the above process, and use the iterative method to gradually approach the precise value of the temperature field. The invention can track the propagation path of the sound ray, and improves the reconstruction accuracy of the temperature field.