Abstract: Predetermined three-dimensional video parameter settings may be dynamically adjusted based on scene content. One or more three-dimensional characteristics associated with a given scene may be determined. One or more scale factors may be determined from the three-dimensional characteristics. The predetermined three-dimensional video parameter settings can be adjusted by applying the scale factors to the predetermined three-dimensional video parameter settings. The scene may be displayed on a three-dimensional display using the resulting adjusted set of predetermined three-dimensional video parameters.

Abstract: Under the present invention, a hierarchical tree and corresponding Least Recently Used (LRU) list are provided. Both include a predetermined quantity of nodes that are associated with invariant data objects. The nodes of the tree typically include a set of pointers that indicate a position/arrangement of the associated invariant data objects in the LRU list, and a set of pointers that indicate a logical relationship among the other nodes.

Abstract: Pixel depth values of a user-controlled virtual object in a three-dimensional scene may be re-scaled to avoid artifacts when the scene is displayed. Minimum and maximum threshold values can be determined for the three-dimensional scene from a target derived from pixel depth data for the three-dimensional scene. Each pixel depth value of the user-controlled virtual object can be compared to the minimum threshold value and the maximum threshold value. A depth value of each pixel of the user-controlled virtual object that falls below the minimum threshold value can be set to a corresponding low value. Each pixel depth value of the user-controlled virtual object that exceeds the maximum threshold value can be set to a corresponding high value.

Abstract: Morphological anti-aliasing (MLAA) of a re-projection of a two-dimensional image can be implemented in a way that produces a better result while using fewer processor resources. One or more discontinuities between each neighboring pixel of the two-dimensional image are determined. One or more pre-defined patterns formed by the one or more discontinuities are identified. A blend amount is calculated for each pixel neighboring the identified pre-defined patterns. A re-projection is applied to the two-dimensional image and to the blend amount for each pixel thereby generating re-projected blend amounts. The neighboring pixels of the re-projection are then blended according to the re-projected blend amounts.

Abstract: Pixel depth values of a user-controlled virtual object in a three-dimensional scene may be re-scaled to avoid artifacts when the scene is displayed. Minimum and maximum threshold values can be determined for the three-dimensional scene. Each pixel depth value of the user-controlled virtual object can be compared to the minimum threshold value and the maximum threshold value. A depth value of each pixel of the user-controlled virtual object that falls below the minimum threshold value can be set to a corresponding low value. Each pixel depth value of the user-controlled virtual object that exceeds the maximum threshold value can be set to a corresponding high value.

Abstract: Predetermined three-dimensional video parameter settings may be dynamically adjusted based on scene content. One or more three-dimensional characteristics associated with a given scene may be determined. One or more scale factors may be determined from the three-dimensional characteristics. The predetermined three-dimensional video parameter settings can be adjusted by applying the scale factors to the predetermined three-dimensional video parameter settings. The scene may be displayed on a three-dimensional display using the resulting adjusted set of predetermined three-dimensional video parameters.

Abstract: Pixel depth values of a user-controlled virtual object in a three-dimensional scene may be re-scaled to avoid artifacts when the scene is displayed. Minimum and maximum threshold values can be determined for the three-dimensional scene. Each pixel depth value of the user-controlled virtual object can be compared to the minimum threshold value and the maximum threshold value. A depth value of each pixel of the user-controlled virtual object that falls below the minimum threshold value can be set to a corresponding low value. Each pixel depth value of the user-controlled virtual object that exceeds the maximum threshold value can be set to a corresponding high value.

Abstract: Morphological anti-aliasing (MLAA) of a re-projection of a two-dimensional image can be implemented in a way that produces a better result while using fewer processor resources. One or more discontinuities between each neighboring pixel of the two-dimensional image are determined. One or more pre-defined patterns formed by the one or more discontinuities are identified. A blend amount is calculated for each pixel neighboring the identified pre-defined patterns. A re-projection is applied to the two-dimensional image and to the blend amount for each pixel thereby generating re-projected blend amounts. The neighboring pixels of the re-projection are then blended according to the re-projected blend amounts.

Abstract: Multi-sample resolution of a re-projection of a two-dimensional image is disclosed. One or more samples of a two-dimensional image are identified for each pixel in the three-dimensional re-projection. One or more sample coverage amounts are determined for each pixel of the re-projection. Each coverage amount identifies an area of the pixel covered by the corresponding two-dimensional sample. A final value is resolved for each pixel of the re-projection by combining each two-dimensional sample associated with the pixel in accordance with its weighted sample coverage amount.

Abstract: Under the present invention, a hierarchical tree and corresponding Least Recently Used (LRU) list are provided. Both include a predetermined quantity of nodes that are associated with invariant data objects. The nodes of the tree typically include a set of pointers that indicate a position/arrangement of the associated invariant data objects in the LRU list, and a set of pointers that indicate a logical relationship among the other nodes.