Abstract: An apparatus and method for creating a 3D model of a scene. A plurality of light beams are projected onto the scene and their imaged projections are analyzed to capture surface information of the scene at a plurality of dots where the light beams intersect the scene. Surface information is used to register consecutive video frames and to construct a 3D model of the scene.

Abstract: Methods and apparatus for rendering images are presented. The method includes the step of segmenting at least one reference image in a reference image space into a plurality of tiles, each tile defined by a corresponding set of image samples. The connectivity of each of the samples is determined based on the relative curvature of a surface of the corresponding tile at the sample coordinates. Color and depth information between adjacent, connected samples is bi-linearly interpolated to form a corresponding set of sub-samples. The set of sub-samples are warped from the reference image space to a destination image space. A final pixel color for each of a plurality of groups of sub-samples in the destination image space is computed as a weighted average of the color information of the sub-samples for each respective group. The final pixel colors are combined to render a final image in the destination image space from the at least one reference image.

Abstract: Methods and apparatus for rendering images are presented. The method includes the step of segmenting at least one reference image in a reference image space into a plurality of tiles, each tile defined by a corresponding set of image samples. The connectivity of each of the samples is determined based on the relative curvature of a surface of the corresponding tile at the sample coordinates. Color and depth information between adjacent, connected samples is bi-linearly interpolated to form a corresponding set of sub-samples. The set of sub-samples are warped from the reference image space to a destination image space. A final pixel color for each of a plurality of groups of sub-samples in the destination image space is computed as a weighted average of the color information of the sub-samples for each respective group. The final pixel colors are combined to render a final image in the destination image space from the at least one reference image.