11 results about "Spatial expansion" patented technology

The invention discloses a small sample new view synthesis method based on reinitialization three-dimensional Gaussian splashing. The method comprises the following steps: firstly, acquiring sparse three-dimensional point cloud and camera internal and external parameters from a training view through a motion recovery structure algorithm; then, sampling points are generated in the point cloud bounding box by adopting a spatial expansion hybrid sampling strategy, and a coarse-grained Gaussian set is constructed and optimized; thirdly, obtaining a rendered image through Gaussian initialization and splash rendering, calculating pixel importance through depth errors and transmissivity, generating a fine-grained Gaussian set through back projection, and optimizing the fine-grained Gaussian set; and finally, calculating a sampling probability based on the cross-view contribution degree, screening key Gaussian distribution, and optimizing to form a final Gaussian set, thereby realizing high-quality new view synthesis. According to the method, the problem of sparsity difference is solved by eliminating extended view dependence, the multi-view consistency and local geometric details of a new view scene are improved, and high-quality new view synthesis of sparse data is realized.

The invention discloses a point cloud completion method based on an up-sampling Mama model. The method comprises the following steps: firstly, carrying out feature retention type down-sampling on input dense point clouds by combining farthest point sampling and K neighbor grouping with a multilayer perceptron; then, a bidirectional Mama encoder is used to carry out feature extraction, and an information stream is enhanced through cascade residual connection. Thirdly, fusing global and local multi-scale features by adopting a Mama feature fusion layer, and generating a seed point with a complete geometric structure through transposition convolution in combination with position embedding; and finally, performing spatial expansion and geometric detail reconstruction through feature alignment, cross-layer fusion and an up-sampling layer based on Mama, and realizing efficient and high-quality completion from sparse point clouds to dense point clouds. And training and optimizing the model by using an enhanced data set. According to the method, a training model is enhanced through data, features are efficiently extracted and fused based on a Mama model (including bidirectional coding, feature fusion and up-sampling), dense point clouds are reconstructed, and complementation robustness and industrial applicability are remarkably improved.

The invention provides a controller, which can enable a sound device expanded in space to reach the ear of an operator from a sound generating part of a shell held and operated by a hand. The upper surface (11) of the housing (10) of a controller (1) used in video game and VR operation is provided with a main sound-generating unit (20), and the lower surface (12) is provided with a sub sound-generating unit (25). Effective sound reaches the ears of the operator from the main sound-generating unit (20) in the shortest time, and the effect sound reaches the operator from the sub-sound-generating unit (25) with a time difference. By generating a difference in transfer function between the sound emitted from the main sound-emitting unit (20) and the sound emitted from the sub-sound-emitting unit (25), a sound effect with a sense of expansion in space can be obtained.

The invention relates to a method for processing data associated with a model characterizing a propagation of terahertz (THz) radiation in a spatial region, the spatial region comprising at least one terahertz device for emitting and / or receiving terahertz radiation and / or at least one object which can be subjected to terahertz radiation, said method comprising: providing the model; characterizing, by means of the model, a propagation of the terahertz radiation in the area of at least one boundary surface between two media that adjoin in the spatial region, wherein the model has a term that depends of at least one of the following elements: a) frequency of the terahertz radiation, b) spatial expansion of at least one of the two adjoining media, for example along a first spatial direction.

The invention discloses a spatial expansion device and medical equipment, and relates to the technical field of medical equipment, and the spatial expansion device comprises a supporting piece, an expansion piece and a fluid pump. Wherein the supporting piece is used for supporting a part to be supported, the first end of the expansion piece is fixed to the first end of the supporting piece, the second end of the expansion piece is movably connected to the second end of the supporting piece, so that the expansion piece and the supporting piece form a communicated closed-loop inner cavity, the fluid pump is communicated with the expansion piece, and the fluid pump is used for injecting fluid into the closed-loop inner cavity. Therefore, the to-be-expanded part is expanded by the expansion piece. The space expansion device solves the problems that the operation space of the extraperitoneal approach surgery is small, and the operation is relatively narrow.

The present invention discloses a multi-ring regular prism folding and unfolding mechanism with synchronous expansion and contraction. This mechanism can be used in scenarios such as spatial array detection and signal acquisition. It features the synchronous expansion and contraction of multiple ring mechanisms. Each ring mechanism, viewed from above, is a regular polygon, and the sides of the polygons formed by each ring mechanism have proportional scaling characteristics. The ring mechanisms are connected by scissor-type units, which utilize the kinematic characteristics of the scissor-type units to achieve the mechanism's spatial expansion and contraction. By arranging a double-rod group above each ring mechanism, the mechanism's stiffness in its maximum expanded position is increased, resulting in the mechanism possessing excellent kinematic and dynamic performance, capable of meeting the requirements for large-caliber expansion and stable acquisition.

The invention discloses a method for comparing, screening and positioning candidate points by using monitoring data, and relates to the field of radio orientation, and the method comprises the following steps: S1, obtaining a candidate position set; s2, performing spatial expansion on the candidate position set to generate an expanded candidate position set; s3, processing the received signal strength data to obtain combined monitoring data; s4, calculating simulation signal intensity; s5, comparing the simulation data with the monitoring data, calculating a standard deviation of a root mean square error and a difference data value, and calculating an error evaluation index in a combined manner; and S6, selecting the candidate position point with the minimum error evaluation index as a final positioning result. On the basis of a preliminary positioning result, a systematic and high-resolution refined evaluation and screening mechanism is introduced, and a comparison mechanism is based on a physical propagation model, so that the electromagnetic relationship between a signal source and a receiving point can be reflected more truly, and the positioning result is closer to the real position of the signal source.

The present application relates to a water level height prediction method and system based on spatial expansion convolution and multi-head multivariate attention, belonging to the data processing technical field for prediction purposes, comprising the steps: given water level height time series data as input sequence, using reversible instance normalization to operate on the data; time position information is added as a variable to the input sequence; the sequence containing time information passes through a lightweight embedding layer; the prediction method of spatial expansion convolution and multi-head multivariate attention is used to train and predict the data set respectively; the prediction sequence is transmitted to the feedforward neural network; the time position variable in the prediction result is removed, and the final subway water flooding height prediction result is obtained through inverse instance normalization. The present application emphasizes the exploration of complex dependency relationship between variables, and captures features from two dimensions of time and space, making up for the lack of water level height time series variable dimension feature, effectively improving the prediction accuracy of water level height.

The invention relates to a method for determining a spatial extent (8) of a recess (5) of a tread (4) of a vehicle tire (1).

The present application provides a kind of spatial heterogeneous differential privacy calculation method and system for land space zoning planning, comprising: obtaining land space zoning planning vector data containing land attribute, planning purpose and plot area, and carrying out encoding and normalization preprocessing;Based on the spatial geometry of plot, topological graph is constructed, and after spatial autocorrelation test, heterogeneous partition is carried out, to form several spatial clusters and independent areas;For each spatial cluster, the spatial expansion sensitivity considering planning consistency constraint is calculated, the constraint is embodied as the change of central plot triggers the cascade adjustment of its multi-order spatial neighbors;According to the structure privacy leakage degree of each spatial cluster, a convex optimization model is established to allocate heterogeneous privacy budget, and the structure privacy leakage degree comprehensively reflects the size of spatial cluster, the strength of spatial correlation and the sensitivity level;Through spectral norm constraint, it is ensured to meet the mathematical definition of approximate differential privacy;Adaptive iterative optimization is executed, and the privacy parameter is dynamically adjusted according to the spatial weighted relative error until convergence.