A system and a method are disclosed for varying a pixel-rate functionality of a GPU as an optional feature without an explicit implementation from within an application. User interface (UI) content may be detected in a draw call of an application and a variable-rate shader lookup map may be generated based on the detected UI content. A pixel rate of 3D content may be increased using the variable-rate shader lookup map. Additionally or alternatively, other conditions may be detected for increasing the pixel rate, such as using information in an application profile, detecting high or low luminance values, detecting motion and/or detecting temporal anti-aliasing.

A system and a method are disclosed for varying a pixel-rate functionality of a GPU as an optional feature without an explicit implementation from within an application. User interface (UI) content may be detected in a draw call of an application and a variable-rate shader lookup map may be generated based on the detected UI content. A pixel rate of 3D content may be increased using the variable-rate shader lookup map. Additionally or alternatively, other conditions may be detected for increasing the pixel rate, such as using information in an application profile, detecting high or low luminance values, detecting motion and/or detecting temporal anti-aliasing.

A method for visualizing two-dimensional data with three-dimensional volume enables the end user to easily view abnormalities in sequential data. The two-dimensional data can be in the form of a tiled texture with the images in a set row and column, a media file with the images displayed at certain images in time, or any other way to depict a set of two-dimensional images. The disclosed method takes in each pixel of the images and evaluates the density, usually represented by color, of the pixel. The disclosed method evaluates and renders the opacity and color of each of the pixels within the volume. The disclosed method also calculates and creates dynamic shadows within the volume in real time. This evaluation allows the user to set threshold values and return exact representations of the data presented.

A method for visualizing two-dimensional data with three-dimensional volume enables the end user to easily view abnormalities in sequential data. The two-dimensional data can be in the form of a tiled texture with the images in a set row and column, a media file with the images displayed at certain images in time, or any other way to depict a set of two-dimensional images. The disclosed method takes in each pixel of the images and evaluates the density, usually represented by color, of the pixel. The disclosed method evaluates and renders the opacity and color of each of the pixels within the volume. The disclosed method also calculates and creates dynamic shadows within the volume in real time. This evaluation allows the user to set threshold values and return exact representations of the data presented.

Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.

Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.

Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.

Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.

A computer readable storage medium stores a facetization processing program that causes a computer to execute a process. The process includes: voxelizing a three-dimensional shape; generating first voxels corresponding to the three-dimensional shape; specifying an area surrounded by the generated first voxels; setting the specified area as voxels to generate second voxels; and facetizing third voxels at a boundary between at least one of the first voxels and a non-voxel area, and the second voxels and the non-voxel area.

A computer readable storage medium stores a facetization processing program that causes a computer to execute a process. The process includes: voxelizing a three-dimensional shape; generating first voxels corresponding to the three-dimensional shape; specifying an area surrounded by the generated first voxels; setting the specified area as voxels to generate second voxels; and facetizing third voxels at a boundary between at least one of the first voxels and a non-voxel area, and the second voxels and the non-voxel area.