47 results about "Ambient occlusion" patented technology

A method to detect a structure of interest includes shading a target from ambient light. A first plurality of images is acquired from the target. Background in the first plurality of images is reduced to minimize or eliminate brightness variation in the images and to generate a first plurality background-reduced images. A second plurality of images is acquired from the target. Background in the second plurality of images is reduced to generate a second plurality of background-reduced images. Noise in the second plurality of background-reduced images is reduced to generate a noise-reduced image, which is then multiplied to generate an amplified image. A structure of interest is detected in the amplified image. An imaging device that can be used to carry out the method is also included and includes an illuminator that shades the target from ambient light and scatters light.

A method comprising: obtaining a plurality of three-dimensional (3D) point clouds about a plurality of objects of interest, each of said 3D point clouds being labelled to a category of objects of interest; rendering facades for the objects of interests categorized as buildings using an ambient occlusion method, where illumination of the point cloud is calculated based on light coming from a theoretical hemisphere or sphere around the object of interest; and rendering shapes of the objects of interests categorized as non-buildings by fitting predefined templates of street view objects to the point clouds labelled as non-buildings.

A model of a scene of an image (e.g. a frame of a video sequence) is generated from one or more views of the scene captured from one or more different camera viewpoints. An initial texture for applying to the model is derived from the one or more views of the scene. The initial texture is separated into a lighting estimate and a colour estimate, which may be orthogonal and which may be processed independently. The lighting estimate is filtered with a high-pass filter to thereby determine shadow regions of the scene which are regions of detailed shadow which are likely to be caused by ambient occlusion in the scene and which are therefore retained when the texture is relit for rendering the image. A shadow-detail estimate (or “dark map”) is provided which indicates one or more shadow regions of the texture which are to remain in shadow when the image is rendered.

The embodiment of the invention discloses an image processing method, an image processing device and computer equipment. The image processing method disclosed by the embodiment of the invention comprises the following steps that: a graphics processor receives information, sent by a central processing unit, of a scene in a preset range around a target object to be rendered; the graphics processor renders the received scene to obtain a scene depth parameter, and the scene is obtained through being shot by a camera positioned in a position of a ray light source; the graphics processor renders a target object to be rendered to obtain a rendering depth parameter, and the target object to be rendered is obtained through being shot by a camera not positioned at in a position of the ray light source; the graphics processor calculates the environment light shielding picture of the target object to be rendered in each ray light source direction according to the scene depth parameter and the rendering depth parameter; and the graphics processor carries out stacking on the environment light shielding pictures in each ray light source direction to obtain an output image. The image processing method, the image processing device and the computer equipment provided by the embodiment of the invention have the advantage that the image processing efficiency can be improved.

The present invention discloses a rendering method of an ambient occlusion image, a method for generating an effect image and an apparatus. The rendering method includes the following steps that: a rendering model located in a camera space is obtained; each pixel of the rendering model in the camera space is projected to a screen space through perspective transformation; the ambient occlusion value of each pixel in the screen space is calculated; and the ambient occlusion image is generated according to the ambient occlusion value of each pixel. According to the rendering method provided by the technical schemes of the invention, the pixels of the rendering model in a scene are projected to the screen space from the camera space; the ambient occlusion values of the pixels in the screen space are calculated; and therefore, a frequent space transformation process is omitted, the number of the instructions of a GPU during operation can be saved, and the operation efficiency of the GPU canbe improved.

The embodiment of the invention discloses an image processing method and device in an AR scene, electronic equipment and a storage medium. The method comprises the steps: acquring a depth image corresponding to a current real scene image; obtaining an ambient light shielding image corresponding to the depth image; and performing coloring processing on the ambient light shielding image according tothe virtual illumination parameter. According to the embodiment of the invention, the 3D virtual illumination and the depth map are combined, the ambient light shielding image corresponding to the depth image is colored according to the virtual illumination parameter, the three-dimensional world optical imaging process can be simulated, an unclear area in the image is lightened in real time or excessive exposure is inhibited, the image display quality is improved, and better augmented reality user experience is brought; and three-dimensional scene rendering is converted into pixel coloring ofa two-dimensional screen space, so that calculation can be simplified to a great extent.

A method comprising: obtaining a plurality of three-dimensional (3D) point clouds about a plurality of objects of interest, each of said 3D point clouds being labelled to a category of objects of interest; rendering facades for the objects of interests categorized as buildings using an ambient occlusion method, where illumination of the point cloud is calculated based on light coming from a theoretical hemisphere or sphere around the object of interest; and rendering shapes of the objects of interests categorized as non-buildings by fitting predefined templates of street view objects to the point clouds labelled as non-buildings.

Scene model data, including a scene geometry model and a plurality of pixel data describing objects arranged in a scene, is received. A first pixel data of the plurality of pixel data is selected. A primary pixel color and a primary ray are generated based on the first pixel data. If the primary ray intersects an object in the scene, an intersection point, P is determined. A surface normal, N, is determined based on the object intersected and the intersection point, P. A primary hit color is determined based on the intersection point, P. The primary pixel color is modified based on the primary hit color. A plurality of ambient occlusion (AO) rays are generated based on the intersection point, P and the surface normal, N, with each AO ray having a direction, D. For each AO ray, the AO ray direction is reversed, D, the AO ray origin, O, is set to a point outside the scene. Each AO ray is marched from the AO ray origin into the scene to the intersection point, P. If an AO ray intersects an object before reaching point P, that AO ray is excluded from ambient occlusion calculations. If an AO ray does not intersect an object before reaching point P, that ray is included in ambient occlusion calculations. Ambient occlusion is estimated based on included AO rays. The primary pixel color is shaded based on the ambient occlusion and the primary hit color and an image is generated based on the primary pixel color for the pixel data.

The method includes receiving a plurality of graphics primitives for rendering at a GPU of a computer system and rendering graphics primitives into pixel parameters of the pixels of a display, wherein the parameters include pixel depth values and pixel normal values. For each pixel of the display, an ambient occlusion process is performed. The algorithm takes as input a ND-buffer containing pixel depth values and pixel normals. Based on the pixel 3-D position and the pixel normal vector, horizon heights are computed by sampling the ND-buffer and an occlusion term is computed for each pixel based on the horizon heights. Based on the pixel 3-D position, the pixel normal vector, a normal occlusion term is computed by sampling the ND-buffer above the horizon in multiple directions. An ambient occlusion illumination value is computed by combining the horizon occlusion term and the normal occlusion term.

Embodiments of the present invention disclose an image processing method and apparatus, and a computer device. The image processing method disclosed by the embodiments of the present invention includes: receiving, by a graphic processing unit (GPU), information, which is sent by a central processing unit (CPU), about a scene within a preset range around a to-be-rendered target object; rendering, by the GPU, the received scene to obtain scene depth parameters, where the scene is obtained through shooting by a camera located at a ray light source; rendering, by the GPU, the to-be-rendered target object to obtain rendering depth parameters, where the to-be-rendered target object is obtained through shooting by a camera not located at a ray light source; calculating, by the GPU, ambient occlusion (AO) maps of the to-be-rendered target object in directions of ray light sources according to the scene depth parameters and the rendering depth parameters; and overlaying, by the GPU, the AO maps in the directions of the ray light sources, to obtain an output image. The embodiments of the present invention can improve image processing efficiency.

Systems and methods are disclosed for calculating dynamic ambient occlusion (AO) values for character models to yield high-quality approximations of global illumination effects. The approach utilizes a dual component machine-learning model that factorizes dynamic AO computation into a non-linear component, in which visibility is determined by approximating spheres and their casted shadows, and a linear component that leverages a skinning-like algorithm for efficiency. The parameters of both components are trained in a regression against ground-truth AO values. The resulting model accommodates lighting interactions with external objects and can be generalized without requiring carefully constructed training data.

A system and method for displaying a unified representation of performance related data for a building are disclosed. The system includes a sensor network for collecting data in the building and a computing device for generating and displaying a unified representation of performance related data on a display. The performance related data may include the raw data collected by the sensor network or data generated by simulation programs based on the raw data collected by the sensor network. The computing device displays the performance related data in the context of a graphical representation of a three-dimensional model of the building as defined in a building information model (BIM). The computing device generates the graphical representation using an ambient occlusion rendering technique and then incorporates the performance related data either using a direct rendering technique or a transient geometry technique.

A method, apparatus and computer program product are provided for non-occluding overlay of user interface or information elements on a contextual map. A method is provided including receiving a two dimensional image associated with a geographic area or object, receiving geometry model associated with the associated with the geographic area, generating an embossing map based on ambient occlusions associated with the geometry model, and generating a composite image based on the two dimensional image and the embossing map.

The invention relates to a method and a system for drawing ambient occlusion images based on GPU (graphic processing unit) acceleration. The method comprises the following steps: 1) building a hemispherical camera system consisting of uniformly-distributed cameras in a CPU (central processing unit) processor; 2) selecting a camera to shoot scenes within a certain range around an object to be rendered so as to obtain a scene depth map (with scene depth values) for the scenes within a certain range around the object to be rendered; 3) receiving the vertex data (include a vertex coordinate) of the object to be rendered, and carrying out calculation according to the vertex coordinate so as to obtain the rendering depth value of a pixel; 4) according to the scene depth value and rendering depth value of the pixel, calculating the AO (ambient occlusion) information of the pixel; 5) storing the AO information of the pixel into an AO map according to a pre-generated AO map; and 6) rendering the online scene of the AO map into displayable ambient light, then outputting the displayable ambient light. In the method, because the AO information calculation process is completed in the GPU processor, and the GPU processor has a strong parallel processing capacity, the calculation efficiency is greatly increased.