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.

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.