34results about How to "Achieve real-time rendering" patented technology

The embodiment of the invention provides a rendering image processing method and device. The method comprises: performing state detection of an object head, and generating a target state sequence; determining the state of the target head according to the target state sequence; when the target head is located at a stable state, obtaining a quasi scene graph generated in advance from a scene buffer area, and taking the obtained quasi scene graph as a target scene map; and performing rendering of the video frame image based on the target scene map, and generating a rendering image. According to the embodiment of the invention, the rendering image processing method and device detect the state of the target head so as to save the step of scene rendering when the target head is located at a stable state, save the time of image rendering, improve the image rendering efficiency and reach the purpose of real-time rendering.

The invention discloses a remote sensing image classification based large-scale infrared terrain scene real-time rendering method and belongs to the technical field of infrared physics and virtual reality. The method includes steps of firstly establishing a terrain classification model; establishing a simplified terrain radiation model, calculating terrain surface temperature values of differentterrains, and converting the calculated terrain surface temperature values of the different terrains into color data according to a fragment shader, and adding infrared noise so as to realize infraredtexture rendering; finally, based on a cfMMOC model, performing real time rendering on infrared characteristics of large-scale terrain. The rendering flow of the invention is based on the cfMMOC model and a shader program, has high rendering efficiency, and can realize the real-time rendering of the global terrain infrared characteristics under a condition with low resource consumption. The framerate of the whole rendering process can be stabilized at more than 55 frames, which meets the real-time rendering conditions.

The invention discloses a method and a device for online preview of a three-dimensional model. The method comprises the steps of locally pre-rendering a picture in multiple view angles for the three-dimensional model; and responding to the online preview of the three-dimensional model. According to the method and the device for the online preview of the three-dimensional model, real data of the model do not need to be loaded locally, a user is prevented from contacting the real data and the data safety is protected; an optimization scheme for rendering of the view angles is provided, thus thenumber of images needing to be drawn is greatly reduced, the data transmission size is decreased and the data transmission time is shortened, the real-time rendering of a three-dimensional scene is realized, and the usage experience of the user is improved; the display performance requirement for mobile terminal equipment is reduced; and the limit of a browser is avoided so that the preview of a large scene becomes possible.

The present invention is directed to a guide system having a function of a real-time voice response for the visually impaired and a method thereof. The guide system responds road conditions in real time using two processing modules performing image processing and voice responses, respectively. The guide system includes an visual sensing module sensing an image, a memory storing multiple training samples and multiple pieces of audio response information, an image processing module performing an image detection process to the image so as to create at least a segmented image, performing an object detection process to the segmented image, and performing an object recognition process so as to create a recognition signal, a system processing module creating an audio signal based on the recognition signal such that a speech voice is hearable by a user.

An adjustable hyperspectral detection chip enhanced by a multi-resonance plasmonic mechanism. The detection chip consists of an array of metal nanonail resonator detection units. Each detection unit (1) comprises: a bottom electrode (2), a semiconductor material layer (3), a spacer layer (4), a nanonail array (5), a control material layer (6), a top electrode (7), a peripheral control signal (8), and a driving circuit (9). The positional relationship from top to bottom is the top electrode (7), the control material layer (6), the nanonail array (5), the spacer layer (4), the semiconductor material layer (3), and the bottom electrode (2). The nanonail array (5) is loaded inside the control material layer (6), and the peripheral control signal (8) and the driving circuit (9) are connected to both sides of the control material layer (6).

The invention discloses a multi-GPU city simulation system for a large scene, which is based on multi-GPU parallel real-time rendering, and comprises: a main module for completing system configuration, system initialization, thread initialization, user interoperation control, terrain management and resource management; a processing module which is used for updating and processing the resources stored in the main memory and the video memory; and a rendering module which is used for completing loading and rendering of video memory resources and carrying out multi-channel output of a simulation scene through a virtual window, wherein the main control module, the processing module and the rendering module are connected with one another. The system is based on multi-GPU parallel real-time rendering, can be suitable for a multi-GPU city three-dimensional simulation engine of a super-large scene, and achieves the real-time rendering of large-range three-dimensional terrain data and a large amount of fine building model data.

The invention relates to the technical field of three-dimensional image processing, in particular to a rendering method based on an aeolotropy spherical Gaussian function. The rendering method includes the steps that (S11) fitting is carried out on a light source and a bidirectional reflection distribution function by means of the aeolotropy spherical Gaussian function; (S21) spherical distortion from a semivector to the incidence direction is carried out on the bidirectional reflection distribution function represented by the aeolotropy spherical Gaussian function; (S31) by means of multiplication closure of the aeolotropy spherical Gaussian function, the distorted bidirectional reflection distribution function is multiplied by the light source to obtain a distribution function; (S41) the distribution function obtained in the step (S31) is integrated to obtain the final rendering color, wherein the aeolotropy spherical Gaussian function is a novel spherical Gaussian function provided by the rendering method based on the aeolotropy spherical Gaussian function. The rendering method can remarkably improve the rendering frame rate, and therefore real-time rendering is better achieved.

The invention provides a large-scale scene real-time rendering method based on user behavior analysis, belonging to the technical field of machine learning. The method firstly collects the user behavior data in virtual reality scene and constructs the database of user behavior in virtual scene. Then the basic model of user behavior analysis is constructed based on neural network, and the user behavior database is used to train the model. At last, according to that personalized model, the user position and vision range at the next time are calculated, and according to the current virtual reality scene data, the scene to be rendered is output. The method can load the model in advance when the quantity of the scene model is large and the quality of the model is high, so as to realize the real-time rendering of the large-scale scene, save the rendering resources, avoid the rendering delay, and then create the real immersion experience.