While a certain number of horizontal, vertical and depth coordinates are shown in FIG. 4, the number of coordinates and bounds can be different or modified. For example, in some embodiments, a 2D image matrix may include 500 horizontal coordinates and 300 vertical coordinates. Other embodiments may provide a finer level of granularity and include 900 horizontal coordinates and 400 vertical coordinates. In some embodiments, the number of horizontal and vertical coordinates may be chosen to match the 2D resolution of the 3D image to achieve a one-to-one direct match across all 2D points in the 2D image matrix with respective 2D coordinates associated with the 3D image.
Depth coordinates are typically modified by altering the resolution of the original point cloud associated with the 3D image. Accordingly, different levels of granularity with respect to the depth coordinates can be achieved by modifying the 3D image resolution of the raw 3D image 404.
In the embodiment of FIG. 4, the 3D point cloud 406 can define a number of points in 3D space. For example, 3D points 460, 462, and 464 each reside in the point cloud 406 of the 3D image 404. In certain embodiments, the 3D points 460, 462, and 464 could relate to items of interest in the 3D image 404, including for example, a distinguishing human characteristic or activity, such as a human head or hand, or a human hand reaching forward or backward, etc.
