Abstract:
Disclosed are systems and methods for providing a rules engine as a platform within a portable electronic device. In one embodiment, a rules engine platform is provided within a portable electronic device by receiving a plurality of rules for one or more modules of the portable electronic device. Additionally, the rules engine platform can receive one or more samples from one or more of the modules within the portable electronic device. The rules engine platform identifies and evaluates one or more relevant rules based on the received sample. The rules engine platform can then determine an action to provide to other modules of the portable electronic device. The rules engine platform may be configured to optimize the performance and power consumption of the portable electronic device.
Abstract:
A multi-user augmented reality (AR) system operates without a previously acquired common reference by generating a reference image on the fly. The reference image is produced by capturing at least two images of a planar object and using the images to determine a pose (position and orientation) of a first mobile platform with respect to the planar object. Based on the orientation of the mobile platform, an image of the planar object, which may be one of the initial images or a subsequently captured image, is warped to produce the reference image of a front view of the planar object. The reference image may be produced by the mobile platform or by, e.g., a server. Other mobile platforms may determine their pose with respect to the planar object using the reference image to perform a multi-user augmented reality application.
Abstract:
In one example, an apparatus includes a processor configured to extract a first set of one or more keypoints from a first set of blurred images of a first octave of a received image, calculate a first set of one or more descriptors for the first set of keypoints, receive a confidence value for a result produced by querying a feature descriptor database with the first set of descriptors, wherein the result comprises information describing an identity of an object in the received image, and extract a second set of one or more keypoints from a second set of blurred images of a second octave of the received image when the confidence value does not exceed a confidence threshold. In this manner, the processor may perform incremental feature descriptor extraction, which may improve computational efficiency of object recognition in digital images.