14results about How to "Realistic visual effects" patented technology

The invention is suitable for the technical field of computers, and provides an optimization method, system and equipment for a particle system, and the method comprises the steps: loading the particle system, and randomly initializing the particle attributes of particles in the particle system; based on motion and interaction rules of particles, quantum calculation is adopted to predict behaviors of the particles in real time, and dynamic special effects of corresponding scenes are generated; according to the scene and the state of the player, the special effect attributes of the particles are dynamically adjusted, and the special effect attributes comprise the transparency, the color and the texture of the particles; the method comprises the following steps: tracking the life state of each particle in real time, marking each particle, generating a particle multiplexing pool, and generating a particle multiplexing strategy based on the particle multiplexing pool, and the particle multiplexing strategy is used for dynamic distribution of reusable particles. And the overall adaptability and rendering performance of the particle system are improved, so that a more real and vivid visual effect can be obtained.

The invention relates to the technical field of picture rendering, in particular to a media picture rendering optimization method and system based on artificial intelligence. The method comprises the following steps: acquiring a terminal video stream; performing RGB format conversion on the terminal video stream to generate an RGB type frame image set; pixel partitioning is carried out on the RGB type frame image set, and RGB pixel matrix blocks are generated; performing color space acceleration conversion on the RGB pixel matrix block to generate a YUV cache data matrix; the YUV storage data matrix is sent to a DSP internal processing unit for key frame selection, and YUV key video frame data and YUV non-key video frame data are obtained; and performing intra-frame coding on the YUV key video frame data so as to generate YUV key frame coded data. According to the method, the media picture rendering efficiency is improved by optimizing data processing, transmission and rendering and combining user visual focus analysis.

The invention discloses a coloring method based on an AI image processing algorithm, and relates to the technical field of artificial intelligence, the method can speculate the original color Cp (Si) of a faded area through the combination of a color attenuation model and a historical color database Hd, the speculated color is subjected to historical correction, and a historical color correction result Ch (Si) consistent with a historical style is obtained. On the basis, the surface light reflection characteristic is combined, painting simulation is carried out on the mural, fine adjustment of illumination and materials is further carried out through an illumination model L and a material optimization function M, and a final painting result Tz (Si) is generated. Through multi-dimensional optimization, it can be guaranteed that the painting effect is kept consistent under different light rays and angles, the painting effect can be highly matched with the surface material of the mural, and finally it is guaranteed that the painting restoration result reaches the preset quality standard through multiple times of evaluation and adjustment.

The invention provides a visual three-dimensional reconstruction method and device and a storage medium, and the method comprises the steps: taking data generated by a first non-visual sensor as supervision, and carrying out the motion structure recovery of visual data generated by a visual sensor; constructing joint observation by using the first non-visual sensor and the visual sensor, and screening out effective visual data; and performing position supervision on the screened effective visual data by using data generated by a second non-visual sensor, and optimizing visual three-dimensional reconstruction. According to the method, depth information supervision and position supervision are respectively realized by using data acquired by the first non-visual sensor, the second non-visual sensor and the visual sensor, visual three-dimensional reconstruction is performed on a high-speed and large-scale outdoor scene, the reconstructed scene is more accurate, the visual effect is more vivid, and the efficiency and effect of visual three-dimensional reconstruction are improved.

The invention provides a three-dimensional image reconstruction method and device, and belongs to the technical field of image processing, and the method comprises the steps: obtaining first point cloud data and second point cloud data; wherein the sources of the first point cloud data and the second point cloud data are different; determining a target registration demand based on the first point cloud data and the second point cloud data; a target registration strategy is determined from a plurality of point cloud registration strategies based on the target registration requirement, and the point cloud registration precisions of the plurality of point cloud registration strategies are different; registering the first point cloud data and the second point cloud data based on a target registration strategy to obtain point cloud registration data; and performing rendering processing on the point cloud registration data to obtain a three-dimensional image model. According to the three-dimensional image reconstruction method and device provided by the invention, the efficiency and accuracy of three-dimensional image reconstruction can be improved.

This utility model discloses a black key for an electric piano and an electric piano, relating to the technical field of electric pianos. It is used to mount on a keyboard base and includes a key body and an outer cover. The key body includes a mounting base for connecting to the keyboard base, with a protrusion at the upper end of the mounting base. The outer cover is made of a translucent material and has an open bottom. The outer cover is fitted onto the protrusion. Through the cooperation of the outer cover and the key body, a jelly-like visual effect is produced, unlike existing technologies where the effect is directly derived from the keys themselves. This not only creates a more realistic visual effect but also eliminates the need to disassemble the entire electric piano when these keys with special visual effects show signs of aging such as yellowing after prolonged use, making maintenance convenient.

The application provides a cloud image efficient synthesis method, belonging to the field of image processing, comprising the following steps: calculating the edge distance transform of the mask of the foreground image to generate a multi-level boundary information graph; converting the background image and the foreground image to the Lab color space, and inputting the Lab channel, the mask and the multi-level boundary information graph into a generator network to output a preliminary fusion image in the Lab color space; using a brightness discriminator and a chroma discriminator to respectively judge the local texture consistency of the preliminary fusion image and a real fusion image in the L channel, and the global color harmony of the preliminary fusion image and the real fusion image in the a and b channels; performing the adversarial training of the generator network and the discriminator based on a total loss function until the network model converges, and using the converged generator network to generate a final fusion image. The application can guarantee the high realism and consistency of the fusion image in the details and the overall color tone.

The invention provides a curling player face reconstruction method based on a rebroadcast video. According to the method, the facial features of the curling player in the rebroadcast video are optimized, the deep learning technology is utilized, a mask network strategy is combined, the limitation of a traditional method in processing reflective and weak texture areas is overcome, and a more real and vivid digital human image is provided for the fields of element universe, digital human, sports event rebroadcast and the like.

The invention relates to an image display device, and particularly discloses an adjustable holographic fan, which comprises a machine body, a rotating seat, a first slip ring and a second slip ring sleeve, a plurality of first light-emitting blades are fixed on the rotating seat, the first slip ring and the second slip ring can move back and forth along the rotating seat, a first butt joint terminal and a first combination part are fixed on the first slip ring, and a second butt joint terminal is fixed on the second slip ring. The first butt joint terminal is connected with the light-emitting control module through a flexible flat cable. The second slip ring is located on the rear side of the first slip ring, a plurality of second light-emitting blades are fixed to the first slip ring, a second butt-joint terminal and a second combination part are installed on the first slip ring, and the second butt-joint terminal is electrically connected with the second light-emitting blades; the second sliding ring is rotationally connected with a traction base, a threaded hole is formed in the traction base and matched with a screw rod, and the screw rod is driven by a position adjusting motor. According to the adjustable holographic fan, the visual effect is remarkably improved based on cooperation of the second light-emitting blades and the first light-emitting blades, and the adjustable holographic fan is scientific and reasonable in structure, low in implementation cost and compact in structure.

The invention discloses a model motion control method, which comprises the following steps: loading a model, and obtaining a first front vector and a first initial position of the model; loading a preset motion path of the model, and sequentially setting a plurality of intermediate target points on the preset motion path according to the path type to realize path segmentation; constructing a first motion direction vector of the model by taking the first initial position as a starting point and the first intermediate target point as an ending point; based on the first front vector, taking the first motion direction vector as an adjustment target, and obtaining an angle and a direction needing to be rotated by the model; and adjusting the pose of the model based on the angle and direction that the model needs to rotate, and controlling the model to move to the first intermediate target point. According to the method, real-time calculation is carried out only through the coordinates between the current position of the model and the target point, the effect that the direction of the model is adjusted to be consistent with the movement direction can be achieved, the visual effect of object movement is more vivid, the real movement situation can be better simulated, dependence on network requests is avoided, and time delay is lower.

The invention discloses a method for automatically generating a video according to a 3D scene. The method comprises the following steps: 1) automatically generating a video of a 3D scene of a decoration space according to a style and a type selected by a user; 2) automatically calculating a video path in the 3D decoration scene, selecting one region as a starting region, entering other regions through a reasonable path, and then returning to the starting region; 3) automatically generating animations and characters corresponding to each style type in the 3D scene; and 4) automatically generating introduction copywriting according to the type and style of the 3D scene. The invention further discloses a system for automatically generating the video according to the 3D scene. The video production time is greatly shortened, the labor cost is reduced, and the efficiency is improved. Through optimization and intelligent planning, high video quality and vivid visual effect are ensured, and the video quality is improved. The decoration effect is visually and dynamically displayed, customers are helped to better understand the design scheme, the satisfaction degree is improved, and the experience feeling is enhanced.

The invention discloses a face video forgery detection method, which comprises the following steps of: 1, acquiring a data set, adopting a diffusion model as a core generation framework, extracting a stable and high-discrimination identity embedding vector from the input data set, and injecting the stable and high-discrimination identity embedding vector into a generation process of the diffusion model in a conditional constraint manner so as to generate a forgery data set; and 2, completing face counterfeiting detection by using the counterfeiting data set generated in the step 1 based on a fine-grained distribution migration strategy. The method provided by the invention is used for solving the technical problems of insufficient quality of forged data, lack of time sequence consistency, lack of identity feature modeling, poor cross-identity forging adaptability, insufficient sensitivity of a detection model to fine-grained artifacts and poor robustness.

The invention discloses a humanoid robot simulation environment based on Isaac Sim and an implementation method thereof, relates to the technical field of robot simulation, is suitable for construction and verification of an industrial inspection and test laboratory scene, and accurately constructs equipment, obstacles and scene layout models by collecting detailed parameters of equipment and obstacles in the industrial scene and utilizing a 3D modeling tool, so as to realize the simulation of the humanoid robot. The method comprises the steps that firstly, a humanoid robot model is established, topological optimization and material detail processing are conducted, then the humanoid robot model is deployed in a simulation environment, movement, interaction and experimental operation of the robot in a laboratory are simulated through an integrated control system and a high-precision physical engine, and real-time movement control over the robot in simulation is achieved in combination with ROS2 and MoveIt2. According to the invention, the accuracy and reliability of task execution of the robot in a laboratory environment are improved, and effective verification and support are provided for application of the robot to an actual industrial experiment scene.

The present application relates to a method and device for programmatic modeling of a three-dimensional scene, and belongs to the technical field of programmatic modeling. The method comprises: obtaining basic geographic data corresponding to a three-dimensional art scene to be modeled; making a node-based editor in three-dimensional software, the editor comprising: a simple change generator and a complex change generator; pre-building parameter nodes in the three-dimensional software; pre-building operator parameter nodes in the three-dimensional software; making component models of roads and component models of buildings in the three-dimensional software, the component models being established according to preset modeling rules; using a simple change generator, generating the required programmatic road model based on the component model of the road and storing it in a library; using a complex change generator, generating the required programmatic building model based on the component model of the building and storing it in a library; it has significant advantages in improving production efficiency, reducing memory usage, ensuring rendering quality, and maintaining visual consistency.