Resource visualization, evaluation, and selection is often a difficult, complex, technically challenging endeavor. This is particularly true when there the resource set is extensive, the resources have widely varying attributes and capabilities, and the resources are also widely disbursed geographically. A multi-dimensional resource evaluation and visualization system implements technical solutions to these technical challenges.

A method for enabling augmented reality interactions with a globe comprises steps of receiving an image of a portion of an outer shell of the globe, from an image capturing device of a computing device, identifying a geographical region from the image, generating a plurality of graphical elements related to the geographical region and displaying the plurality of graphical elements on a display device of the computing device.

A method for enabling augmented reality interactions with a globe comprises steps of receiving an image of a portion of an outer shell of the globe, from an image capturing device of a computing device, identifying a geographical region from the image, generating a plurality of graphical elements related to the geographical region and displaying the plurality of graphical elements on a display device of the computing device.

Resource visualization, evaluation, and selection is often a difficult, complex, technically challenging endeavor. This is particularly true when there the resource set is extensive, the resources have widely varying attributes and capabilities, and the resources are also widely disbursed geographically. A multi-dimensional resource evaluation and visualization system implements technical solutions to these technical challenges.

Resource visualization, evaluation, and selection is often a difficult, complex, technically challenging endeavor. This is particularly true when there the resource set is extensive, the resources have widely varying attributes and capabilities, and the resources are also widely disbursed geographically. A multi-dimensional resource evaluation and visualization system implements technical solutions to these technical challenges.

A self-rotating display device (1) includes and outer light transmissive container (2) containing a light transmissive fluid (6) and a body (4) containing an electric motor (14) for rotating the body with respect to the outer container. The body also carries a compass magnet (18) as a source of counter-torque for the motor to operate against. A magnetic positioning structure (20) made of ferromagnetic material secured to the container interacts with the magnetic field of the compass magnet to cause the body to migrate toward a location minimizing the distance between the magnetic positioning structure and compass magnet, so that the body can remain centered within the display while rotating.

A self-rotating display device (1) includes and outer light transmissive container (2) containing a light transmissive fluid (6) and a body (4) containing an electric motor (14) for rotating the body with respect to the outer container. The body also carries a compass magnet (18) as a source of counter-torque for the motor to operate against. A magnetic positioning structure (20) made of ferromagnetic material secured to the container interacts with the magnetic field of the compass magnet to cause the body to migrate toward a location minimizing the distance between the magnetic positioning structure and compass magnet, so that the body can remain centered within the display while rotating.

Cell-based augmented reality (AR) content positioning systems may include a reference grid of cells, each of which includes a 32-bit intracellular coordinate system based on a respective reference point of the cell. Cell topology is selected such that the intracellular coordinate systems may utilize single-precision floating point numbers while retaining the ability to define content positions with, e.g., millimeter-level precision. Accordingly, rendering of AR content may be performed at a high precision using 32-bit devices and methods.

Cell-based augmented reality (AR) content positioning systems may include a reference grid of cells, each of which includes a 32-bit intracellular coordinate system based on a respective reference point of the cell. Cell topology is selected such that the intracellular coordinate systems may utilize single-precision floating point numbers while retaining the ability to define content positions with, e.g., millimeter-level precision. Accordingly, rendering of AR content may be performed at a high precision using 32-bit devices and methods.

Cell-based augmented reality (AR) content positioning systems may include a reference grid of cells, each of which includes a 32-bit intracellular coordinate system based on a respective reference point of the cell. Cell topology is selected such that the intracellular coordinate systems may utilize single-precision floating point numbers while retaining the ability to define content positions with, e.g., millimeter-level precision. Accordingly, rendering of AR content may be performed at a high precision using 32-bit devices and methods.