Abstract: A system and methodologies for neuromorphic (NM) vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and methodologies for neuromorphic (NM) vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: Disclosed embodiments provide systems, components, and methodologies for performing super sampling in combination with other operations to enhance anti-aliasing in high resolution meshes generated by GPUs so as to mitigate, reduce or eliminate the effects of degenerated triangles so as to improve the appearance of simulated objects.

Abstract: A system and methodologies for neuromorphic (NM) vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and methodologies for neuromorphic (NM) vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system, apparatus and method for processing sensor data in a vehicle, where one or more sensors are configured to provide sensor data relating to at least one of a vehicle operating characteristic and/or a driving environment. A processing apparatus is configured to receive data from the one or more sensors. A display is configured to display a scene comprising one or more images associated with the sensor data, wherein the processing apparatus includes a probability processing module configured to process the sensor data to calculate a sensor confidence value representing an estimated accuracy for at least one of the one or more sensors, and wherein the processing apparatus includes a graphics processing module configured to process the sensor confidence value to modify the scene on the display to represent the estimated accuracy for the at least one or more of the sensors.

Abstract: Light sources are simulated by using a surface normal perturbation method. A mesh representing the surface of an object and containing surface normals is provided. A light source vector representing the orientation of the surface toward a light source is generated. Based on light intensity adjustments input by a user, the surface normals are perturbed in a lighting equation to simulate a change in light intensity on the surface without rotating the surfaces relative to the scene.

Abstract: Disclosed embodiments provide systems, components, and methodologies for performing super sampling in combination with other operations to enhance anti-aliasing in high resolution meshes generated by GPUs so as to mitigate, reduce or eliminate the effects of degenerated triangles so as to improve the appearance of simulated objects.

Abstract: Light sources are simulated by using a surface normal perturbation method. A mesh representing the surface of an object and containing surface normals is provided. A light source vector representing the orientation of the surface toward a light source is generated. Based on light intensity adjustments input by a user, the surface normals are perturbed in a lighting equation to simulate a change in light intensity on the surface without rotating the surfaces relative to the scene.

Abstract: A method carried out by a graphics processing apparatus samples a texture value of a first texture layer at an offset to a second texture layer of a surface and adjusts pixel color for a pixel of the second texture layer using the texture value such that an appearance of depth is created between the first texture layer and the second texture layer. The method may adjust the pixel color using the sampled texture value alpha component. Another method includes transforming a surface normal vector to eye space for a surface having at least first and second texture layers mapped thereto, determining an offset between the first texture layer and the second texture layer using the transformed surface normal vector, sampling a texture value of the first texture layer using the offset, and adjusting pixel color for a pixel of the second texture layer using the texture value.

Abstract: A method carried out by a graphics processing apparatus samples a texture value of a first texture layer at an offset to a second texture layer of a surface and adjusts pixel color for a pixel of the second texture layer using the texture value such that an appearance of depth is created between the first texture layer and the second texture layer. The method may adjust the pixel color using the sampled texture value alpha component. Another method includes transforming a surface normal vector to eye space for a surface having at least first and second texture layers mapped thereto, determining an offset between the first texture layer and the second texture layer using the transformed surface normal vector, sampling a texture value of the first texture layer using the offset, and adjusting pixel color for a pixel of the second texture layer using the texture value.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) results in conjunction with breast x-ray tomosynthesis data are described. For one preferred embodiment, as a user pages through a notional stack of tomosynthesis reconstructed slice images (Tr images), including a detection-containing Tr image on which a CAD marker is to be displayed at an identified coordinate location, one or more CAD proximity markers is displayed at that coordinate location on one or more neighboring Tr images. While not themselves indicative of CAD findings on their respective Tr images, the CAD proximity markers encourage user attention toward the coordinate location of the CAD detection marker of the detection-containing Tr image. Preferably, the CAD proximity markers are of noticeably different size from each other and from the CAD detection marker to promote their perception in the peripheral vision of the user during the paging process.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) results in conjunction with breast x-ray tomosynthesis data are described. For one preferred embodiment, as a user pages through a notional stack of tomosynthesis reconstructed slice images (Tr images), including a detection-containing Tr image on which a CAD marker is to be displayed at an identified coordinate location, one or more CAD proximity markers is displayed at that coordinate location on one or more neighboring Tr images. While not themselves indicative of CAD findings on their respective Tr images, the CAD proximity markers encourage user attention toward the coordinate location of the CAD detection marker of the detection-containing Tr image. Preferably, the CAD proximity markers are of noticeably different size from each other and from the CAD detection marker to promote their perception in the peripheral vision of the user during the paging process.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) results in conjunction with breast x-ray tomosynthesis data are described. For one preferred embodiment, as a user pages through a notional stack of tomosynthesis reconstructed slice images (Tr images), including a detection-containing Tr image on which a CAD marker is to be displayed at an identified coordinate location, one or more CAD proximity markers is displayed at that coordinate location on one or more neighboring Tr images. While not themselves indicative of CAD findings on their respective Tr images, the CAD proximity markers encourage user attention toward the coordinate location of the CAD detection marker of the detection-containing Tr image. Preferably, the CAD proximity markers are of noticeably different size from each other and from the CAD detection marker to promote their perception in the peripheral vision of the user during the paging process.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) results in conjunction with breast x-ray tomosynthesis data are described. For one preferred embodiment, as a user pages through a notional stack of tomosynthesis reconstructed slice images (Tr images), including a detection-containing Tr image on which a CAD marker is to be displayed at an identified coordinate location, one or more CAD proximity markers is displayed at that coordinate location on one or more neighboring Tr images. While not themselves indicative of CAD findings on their respective Tr images, the CAD proximity markers encourage user attention toward the coordinate location of the CAD detection marker of the detection-containing Tr image. Preferably, the CAD proximity markers are of noticeably different size from each other and from the CAD detection marker to promote their perception in the peripheral vision of the user during the paging process.