Abstract: Dynamic projection of at least first and second patterns contributes detectable disparity onto a scene that includes a target object. The scene is imaged with two-dimensional cameras whose acquired imagery includes disparity contributions whose presence enable a three-dimensional reconstruction depth map to be rapidly and accurately generated. In one embodiment coherent light is input to a first DOE within whose near range output is disposed a second DOE, whose far range output projects an image. Electronically varying effective optical distance between the two DOEs varies the pattern projected from the second DOE. A processor system and algorithms enable dynamic intelligent selection of projected patterns to more readily discern target object characteristics: shape, size, velocity. Patterns can implement spatio-temporal depth reconstruction, spatio-temporal depth reconstruction, and even single-camera spatio-temporal light coding reconstruction.

Abstract: Dynamic projection of at least first and second patterns contributes detectable disparity onto a scene that includes a target object. The scene is imaged with two-dimensional cameras whose acquired imagery includes disparity contributions whose presence enable a three-dimensional reconstruction depth map to be rapidly and accurately generated. In one embodiment coherent light is input to a first DOE within whose near range output is disposed a second DOE, whose far range output projects an image. Electronically varying effective optical distance between the two DOEs varies the pattern projected from the second DOE. A processor system and algorithms enable dynamic intelligent selection of projected patterns to more readily discern target object characteristics: shape, size, velocity. Patterns can implement spatio-temporal depth reconstruction, spatio-temporal depth reconstruction, and even single-camera spatio-temporal light coding reconstruction.