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: A mobile station determines its orientation using an image of an object produced by the mobile station and a top view of that object obtained from an online server. The mobile station image is analyzed to identify lines on the object and to determine the direction of the lines with respect to the mobile station. The top view image, which may be a satellite image, is also analyzed to identify lines on the object that correspond to the lines identified in the mobile station image. The direction of the lines in the top view image are compared to the direction of lines in the mobile station image and based on their relative orientation the orientation of the mobile station may be determined. For example, the difference between the preliminary and corrected orientations may be stored as a calibration factor and used to correct subsequent orientation measurements from orientation sensors.

Abstract: Methods and systems for tracking camera pose using dynamically calibrated line features for augmented reality applications are disclosed. The dynamic calibration of the line features affords an expanded tracking range within the real environment and into adjacent, un-calibrated areas. Line features within a real environment are modeled with a minimal representation, such that they can be efficiently dynamically calibrated as a camera pose changes within the environment. A known camera pose is used to initialize line feature calibration within the real environment. Parameters of dynamically calibrated line features are also used to calculate camera pose. The tracking of camera pose through a real environment allows insertion of virtual objects into the real environment without dependencies on pre-calibrated landmarks.

Abstract: Methods and systems for tracking camera pose using dynamically calibrated line features for augmented reality applications are disclosed. The dynamic calibration of the line features affords an expanded tracking range within the real environment and into adjacent, un-calibrated areas. Line features within a real environment are modeled with a minimal representation, such that they can be efficiently dynamically calibrated as a camera pose changes within the environment. A known camera pose is used to initialize line feature calibration within the real environment. Parameters of dynamically calibrated line features are also used to calculate camera pose. The tracking of camera pose through a real environment allows insertion of virtual objects into the real environment without dependencies on pre-calibrated landmarks.