Abstract: An electronic gaming machine may include an illuminable notification mechanism, which may be disposed on a rear surface of the electronic gaming machine in a position or location that makes the notification mechanism visible to a casino operator. The notification mechanism may include a display, such as, for example, a display that includes at least one tri-color light emitting diode (LED). The display of the notification mechanism may be selectively illuminated in a variety of lighting configurations based, for example, upon gameplay activity of a player of the gaming machine. For instance, in some embodiments, the notification mechanism may be selectively illuminated in any of an inactive lighting configuration, an active lighting configuration, or a privileged lighting configuration. In the privileged lighting configuration, the notification mechanism may indicate that a player of the gaming machine is entitled to a complimentary item (e.g., a free or reduced-price item or service).

Abstract: A method and apparatus are provided for registering a base recorded image (9) of an object or terrain with a secondary recorded image (10) of the object or terrain, using a base image sensor model (12), secondary image sensor model (13) and elevation information (11). A plurality of biases (24) and respective matched biases (29) are applied to the secondary image sensor (model 13) and base image sensor model (12), to determine a plurality of corrected sensor models (26) and respective nominally corrected base image sensor models (31). Each corrected sensor model (26) and respective nominally corrected base image sensor model (31) is used to reproject (27) the secondary recorded image (10), and in each case the reprojected secondary recorded image is correlated (19) with the base recorded image (12) to ascertain a correlation score (20) and adjustments to the bias corrections (32). The correlation score being evaluated to determine optimally corrected sensor models and and/or an optimally transformed image.

Abstract: A method and apparatus are provided for generating enhanced digital imagery from digital input images (7) exhibiting differences other than or in excess of differences in projection. By applying a plurality of image transformations (10) to frequency normalised (8) versions of the input images, and generating measures of image similarity (11) therefrom, an optimum image transformation (12) can be determined that can be applied to the digital input images such that they are substantially matched. Digital input images of physical objects or environments to which the method is applied can then be used in image fusion, ortho-rectification or change detection applications, in order to monitor the physical object or environment.

Abstract: A method and apparatus are provided for generating enhanced digital imagery from digital input images (7) exhibiting differences other than or in excess of differences in projection. By applying a plurality of image transformations (10) to frequency normalised (8) versions of the input images, and generating measures of image similarity (11) therefrom, an optimum image transformation (12) can be determined that can be applied to the digital input images such that they are substantially matched. Digital input images of physical objects or environments to which the method is applied can then be used in image fusion, ortho-rectification or change detection applications, in order to monitor the physical object or environment.

Abstract: A method and apparatus are provided for registering a base recorded image (9) of an object or terrain with a secondary recorded image (10) of the object or terrain, using a base image sensor model (12), secondary image sensor model (13) and elevation information (11). A plurality of biases (24) and respective matched biases (29) are applied to the secondary image sensor (model 13) and base image sensor model (12), to determine a plurality of corrected sensor models (26) and respective nominally corrected base image sensor models (31). Each corrected sensor model (26) and respective nominally corrected base image sensor model (31) is used to reproject (27) the secondary recorded image (10), and in each case the reprojected secondary recorded image is correlated (19) with the base recorded image (12) to ascertain a correlation score (20) and adjustments to the bias corrections (32). The correlation score being evaluated to determine optimally corrected sensor models and and/or an optimally transformed image.