6results about How to "Reduce aliasing" patented technology

The invention discloses a complex-material-oriented multi-path full-frequency global illumination neural rendering method and system, and belongs to the technical field of computer graphics, and the method comprises the steps: carrying out the scene query of light emitted by pixels, and obtaining a primary geometric buffer and a multi-path mixed geometric buffer of the multi-time ejection of the light; respectively extracting main frequency features and multi-path sub-frequency features in a neural feature field based on the two features; performing directed graph structured modeling based on the multi-path sub-frequency features to obtain propagation features representing light path propagation information and global features representing overall light path information; performing multi-path frequency joint feature fusion based on the dominant frequency feature, the propagation feature and the global feature to generate a fusion feature with a full-frequency feature; and estimating a final radiation brightness value of the pixel based on the fusion feature, and completing neural rendering of global illumination. According to the method, efficient modeling and high-quality drawing of multi-path full-frequency global illumination under a complex material can be realized, and the sense of reality and dynamic consistency of a rendered image are remarkably improved.

The application provides a spectrum bending correction method, system and medium, relates to the fields of spectral imagers and satellite remote sensing technology, and comprises the following steps: S1, selecting a solar spectrum image as sample data for spectrum bending correction, and performing curve fitting on the sample data; S2, calculating the bending degree of each column of a to-be-corrected image according to the fitted curve; and S3, correcting each column of the to-be-corrected image by using the time shift property of Fourier transform according to the bending degree of each column, completing the correction of all column data, and obtaining complete corrected spectrum image data. The application can not need to increase the design and manufacturing difficulty of a spectral element or a slit, not need complex calculation, only use the time shift property of discrete Fourier transform to process image data, and simply and intuitively complete spectrum bending correction.

The invention discloses an end-to-end UAV (Unmanned Aerial Vehicle) infrared pedestrian detection method based on fine-grained feature aggregation, and relates to the technical field of crossing of computer vision, an infrared detection technology and edge intelligent calculation. Comprising the following steps: acquiring infrared pedestrian image data, preprocessing the infrared pedestrian image data, and inputting the preprocessed infrared pedestrian image data into a detection model; performing multi-scale feature extraction on the preprocessed infrared pedestrian image data through a backbone network of the detection model; performing multi-scale feature fusion on shallow features extracted by the backbone network by adopting an attention mechanism; carrying out multi-scale feature fusion learning on deep features extracted by the backbone network by adopting a re-parameterization technology; and the fused features are optimized through a multi-path attention mechanism detection head, and a detection result is output. According to the invention, high-precision and high-real-time pedestrian detection is realized in a complex infrared scene.

The application discloses a kind of object optimal tilt angle calculation method and application of X-ray CL three-dimensional reconstruction, and the method comprises:1, the geometric model of three-dimensional reconstruction algorithm of X-ray CL scanning mode is established,2, the geometric parameter relationship of CL scanning mode is determined, the projection address expression is solved,3, projection address relative error formula is calculated according to projection address expression,4, the influence of object tilt angle on projection address relative error is calculated, and gradient descent method is used, the relationship between object thickness and optimal tilt angle is solved, and polynomial fitting method is used, and object thickness and optimal tilt angle relationship formula are fitted.The object tilt angle of the application is optimized in the process of CL three-dimensional reconstruction, can improve the accuracy of CL three-dimensional reconstruction algorithm, and reduce the interlaced phenomenon after reconstruction.

The application provides a kind of spaceborne conical scanning Doppler radar three-dimensional wind field inversion method and device, the method comprises: the radar observation strip area is divided into multiple sub-blocks, and there is area overlap between adjacent sub-blocks, and the horizontal wind field of each height layer is parameterized in each sub-block with piecewise continuity variation assumption;Variational method is used to obtain the optimal horizontal wind field parameter of each height layer in each sub-block, and the horizontal wind field in each sub-block is determined according to the optimal horizontal wind field parameter, the horizontal wind field of the corresponding position of each sub-block in the overlapping area is linearly weighted and fused to obtain the final horizontal wind field;The horizontal divergence is calculated according to the optimal horizontal wind field parameter of each height layer in each sub-block, and the vertical wind field is obtained by integrating the horizontal divergence in the height direction using the atmospheric mass conservation equation, and the vertical wind field of the corresponding position of each sub-block in the overlapping area is linearly weighted and fused to obtain the final vertical wind field.The application realizes the continuous and robust three-dimensional wind field inversion of spaceborne conical scanning Doppler radar.

This application relates to the field of non-invasive blood glucose detection technology and provides a multi-wavelength PPG non-invasive blood glucose estimation system based on spectral reconstruction. The system includes: an acquisition module for acquiring the emission spectral response curve of the light-emitting unit and the spectral response curve of the photoelectric receiving unit of a signal acquisition device; an acquisition module for acquiring demographic information of the subject, the subject's PPG signal, temperature and humidity signals, and time information; a determination module for determining the target absorption curve of the subject; a reconstruction module for spectrally reconstructing the subject's PPG signal to obtain the subject's spectral tensor; an encoding module for jointly encoding the spectral tensor, temperature and humidity signals, and time information to obtain fused features; and an estimation module for inputting the fused features into a blood glucose estimation model to obtain the blood glucose estimation result for the subject. This application can improve the accuracy and individual adaptability of non-invasive blood glucose estimation.