6 results about "Integral imaging" patented technology

The present application relates to a kind of radar scattering cross section test methods based on deep learning and ISAR imaging inversion, the method includes using ISAR imaging test mode to obtain target and calibration body broadband radar scattering echo signal, calibration processing and applying filter-inverse projection imaging algorithm to carry out ISAR imaging, application completes the deep learning model of accurate extraction ISAR image scattering signal area, application FFT transform-interpolation integral ISAR imaging inversion algorithm high-precision inversion reconstruction RCS value, change ISAR imaging aperture center azimuth angle traversal acquisition target all azimuth angle RCS data.The radar scattering cross section test method based on deep learning and ISAR imaging inversion provided by the present application solves the accurate extraction ISAR image scattering area and ISAR image high-precision inversion reconstruction RCS and other test practical problems, expands RCS data acquisition method.

The method of snapshot compressive imaging three-dimensional Gaussian splatting reconstruction belongs to the field of computer vision and computational photography. A reconstruction network based on the hybrid architecture of stochastic gradient Langevin dynamics (SGLD) and explicit three-dimensional Gaussian representation is built. Then, multiple physical perception modules are combined to achieve the deep decoupling and reconstruction of the spatiotemporal information of dynamic scenes. Driven by the embedded decoupling deformation field, the deformation field contains a coarse-grained trajectory prediction branch and a fine-grained integral fitting branch: the coarse-grained branch combines low-frequency time coding with latent embedding features, enabling Gaussian primitives to capture global rigid motion trajectories and serving as a temporal regularizer; the fine-grained branch uses high-frequency time coding to predict non-rigid deformation and physically fits the motion blur stripes generated by temporal integration through anisotropic scale stretching. An adaptive density control strategy compatible with physics is introduced. Using the physical integral imaging simulation module, high-fidelity and multi-view consistent high-speed dynamic three-dimensional scene reconstruction results are obtained.

The utility model discloses a floor fan which comprises a fan base, an energy storage battery box used for containing an energy storage charge-discharge battery set is arranged on one side of the right upper end of the fan base in an integrated imaging mode, and a fan supporting rod used for supporting a fan head and a driving part is vertically connected to the center position of the right upper end of the fan base. The energy storage battery box and the built-in energy storage charge and discharge battery group are arranged on the fan base, so that single dependence on a traditional external socket is eliminated, the problem that the indoor and outdoor use range of the floor fan is limited is effectively solved, and a user can use the fan more flexibly without being limited to the position of the socket. Meanwhile, due to the stable connection design of the fan base and the fan supporting rod, the bottom end of the fan supporting rod is fixed in a fixing hole groove in the center of the end of the fan base, and the top end of the fan supporting rod is fixed on the inner side of the center of the bottom end of the control panel box, reliable supporting is provided for the fan head and the driving part, and fan toppling caused by unstable connection is avoided. And the safety and the stability in the use process are enhanced.

The present application relates to a metalens array-based binocular near-eye integral imaging three-dimensional (3D) display system, comprising: a first micro-display screen arranged within a right-eye field of view and a second micro-display screen arranged within a left-eye field of view. A first metalens array is arranged on the side of the first micro-display screen where an image is displayed, and a second metalens array is arranged on the side of the second micro-display screen where an image is displayed; the first micro-display screen and the second micro-display screen are used for providing image source light having binocular disparity, and the first metalens array and the second metalens array are used for modulating the image source light having binocular disparity to generate two 3D images having binocular disparity and depth information. Compared with conventional technologies, the present application can simultaneously achieve adjustment of the focal positions and the vergence angles of the left and right eyes of a viewer, bringing more realistic and accurate spatial 3D perception to users, and better conforming to natural viewing habits of the human body.

Directional illumination devices and associated methods are described that enable control of the light emission direction from micro-display panels devices such as head mounted displays. These directional illumination designs reduce or eliminate crosstalk. One example directional illumination unit produces a plurality of directional light bundles, where each directional light bundle is confined within a specific angle with respect to an optical axis of head mounted display, and each ray bundle only passes through only one microlens a first microlens array where elemental images associated with the micro-display of the head mounted display are formed. The directional illumination unit includes at least a second microlens array and one or more of a third microlens array, a barrier array, a condenser lens, or a lightguide.

This invention relates to the field of seismic response measurement of building structures, specifically to a method for measuring inter-story displacement of buildings under seismic excitation based on exposure integral correction. This method acquires building image signals and obtains the pixel displacement matrix using optical flow; constructs an exposure integral imaging model to correct amplitude and phase deviations, and achieves subspace robustness through weighted low-rank decomposition; extracts a virtual baseline to calculate the initial scaling factor and dynamically updates it through Kalman filtering; finally, it calculates the physical inter-story displacement and evaluates the uncertainty, and designs additional row-level compensation for rolling shutter cameras.