A method of adjusting a shading normal vector for a computer graphics rendering program. Calculating a normalized shading normal vector pointing outwards from an origin point on a tessellated surface modeling a target surface to be rendered. Calculating a normalized outgoing reflection vector projecting from the origin point for an incoming view vector directed towards the origin point and reflecting relative to the normalized shading normal vector. Calculating a correction vector such that when the correction vector is added to the normalized outgoing reflection vector a resulting vector sum is yielded that is equal to a maximum reflection vector, wherein the maximum reflection vector is on or above the tessellated surface. Calculating a normalized maximum reflection vector by normalizing a vector sum of the correction vector plus the maximum reflection vector. Calculating a normalized adjusted shading normal vector by normalizing a vector difference of the normalized maximum reflection vector minus the incoming view vector.

A method of adjusting a shading normal vector for a computer graphics rendering program. Calculating a normalized shading normal vector pointing outwards from an origin point on a tessellated surface modeling a target surface to be rendered. Calculating a normalized outgoing reflection vector projecting from the origin point for an incoming view vector directed towards the origin point and reflecting relative to the normalized shading normal vector. Calculating a correction vector such that when the correction vector is added to the normalized outgoing reflection vector a resulting vector sum is yielded that is equal to a maximum reflection vector, wherein the maximum reflection vector is on or above the tessellated surface. Calculating a normalized maximum reflection vector by normalizing a vector sum of the correction vector plus the maximum reflection vector. Calculating a normalized adjusted shading normal vector by normalizing a vector difference of the normalized maximum reflection vector minus the incoming view vector.

One aspect of the disclosure provides a method for rendering an image. The method includes: placing primitives of the image in a screen space; binning the primitives into tiles of the screen space that the primitives touch; and rasterizing the tiles at one tile of the tiles at a time. The aforementioned rasterizing includes shading a subset of the primitives binned to the one tile at a first shading rate during a first pass and shading the subset of primitives binned to the one tile at a second shading rate during a second pass, the second shading rate is different from the first shading rate, and the aforementioned placing is performed once while the image is rendered.

One aspect of the disclosure provides a method for rendering an image. The method includes: placing primitives of the image in a screen space; binning the primitives into tiles of the screen space that the primitives touch; and rasterizing the tiles at one tile of the tiles at a time. The aforementioned rasterizing includes shading a subset of the primitives binned to the one tile at a first shading rate during a first pass and shading the subset of primitives binned to the one tile at a second shading rate during a second pass, the second shading rate is different from the first shading rate, and the aforementioned placing is performed once while the image is rendered.

A method for processing images of a scene including a surface made of a material of unknown reflectance comprises the following steps: from at least 3 different positions of an image sensor, the positions and corresponding orientations of the sensor known, acquiring images of the scene illuminated by a light source, each image containing specularity generated by reflection of the light source from the surface and depending on the position, the shape and the intensity of the light source and the reflectance of the material; in each image, detecting each specularity and for each specularity, estimating a conic approximating the specularity. It comprises constructing a quadric representing the position, intensity and shape of the light source and the reflectance of the material, on the basis of the conics, and of the position and orientation of the image sensor during the acquisition of the images containing the specularities respectively approximated by these conics.

A method for processing images of a scene including a surface made of a material of unknown reflectance comprises the following steps: from at least 3 different positions of an image sensor, the positions and corresponding orientations of the sensor known, acquiring images of the scene illuminated by a light source, each image containing specularity generated by reflection of the light source from the surface and depending on the position, the shape and the intensity of the light source and the reflectance of the material; in each image, detecting each specularity and for each specularity, estimating a conic approximating the specularity. It comprises constructing a quadric representing the position, intensity and shape of the light source and the reflectance of the material, on the basis of the conics, and of the position and orientation of the image sensor during the acquisition of the images containing the specularities respectively approximated by these conics.

A method and system for applying shading to descriptors that are presented with 2D ultrasound images having corresponding shading is provided. The method may include mapping, by a processor, height values of a synthetic map to pixels of a descriptor. The method may include determining, by the processor, a gradient of the height values for each of the pixels of the descriptor. The method may include applying, by the processor, shading to the descriptor based on shading parameters and the gradient of the height values for each of the pixels of the descriptor to create a shaded descriptor. The method may include presenting, by the processor, the shaded descriptor at a display system with a 2D ultrasound image having shading corresponding with the shading applied to the shaded descriptor.

A method and system for applying shading to descriptors that are presented with 2D ultrasound images having corresponding shading is provided. The method may include mapping, by a processor, height values of a synthetic map to pixels of a descriptor. The method may include determining, by the processor, a gradient of the height values for each of the pixels of the descriptor. The method may include applying, by the processor, shading to the descriptor based on shading parameters and the gradient of the height values for each of the pixels of the descriptor to create a shaded descriptor. The method may include presenting, by the processor, the shaded descriptor at a display system with a 2D ultrasound image having shading corresponding with the shading applied to the shaded descriptor.

A method may include: receiving facial image of the patient that depicts the patient's teeth; receiving a 3D model of the patient's teeth; determining color palette of the depiction of the patient's teeth; coding 3D model of the patient's teeth based on attributes of the 3D model; providing the 3D model, the color palette, and the coded 3D model to a neural network; processing the 3D model, the color palette, and the coded 3D model by the neural network to generate a processed image of the patient's teeth; simulating specular highlights on the processed image of the patient's teeth; and inserting the processed image of the patient's teeth into a mouth opening of the facial image.

A method may include: receiving facial image of the patient that depicts the patient's teeth; receiving a 3D model of the patient's teeth; determining color palette of the depiction of the patient's teeth; coding 3D model of the patient's teeth based on attributes of the 3D model; providing the 3D model, the color palette, and the coded 3D model to a neural network; processing the 3D model, the color palette, and the coded 3D model by the neural network to generate a processed image of the patient's teeth; simulating specular highlights on the processed image of the patient's teeth; and inserting the processed image of the patient's teeth into a mouth opening of the facial image.