Abstract:
Techniques for managing applications associated with a mobile device are provided. The techniques disclosed herein include techniques for obtaining an image of an object in the view of a camera associated with a mobile device, identifying the object in the image based on attributes of the object extracted from the image, and determining whether one or more applications are associated with the object. If there are one or more applications associated with the real-world object, an application associated with the object can be automatically launched on the mobile device. The association between a real-world object and an application may be identified by a visual indicator, such as an icon, symbol, or other markings on the object that indicates that the object is associated with one or more applications.
Abstract:
Embodiments disclosed pertain to mobile device based text detection and tracking. In some embodiments, a first reference frame is obtained by performing Optical Character Recognition (OCR) on an image frame captured by a camera to locate and recognize a first text block. A subsequent image frame may be selected from a set of subsequent image frames based on parameters associated with the selected subsequent image and a second reference frame may be obtained by performing OCR on the selected subsequent image frame to recognize a second text block. A geometric relationship between the first and second text blocks is determined based on a position of the first text block in the second reference frame and a pose associated with the second reference frame.
Abstract:
Disclosed is a method and apparatus for using color measurement features at multiple scales for a Color Transfer technique. In one embodiment, the functions implemented include: resizing a ground truth image target frame to a plurality of different scales; selecting one or more color measurement features from the ground truth image target frame at each of the plurality of different scales; making a color measurement for each color measurement feature in the ground truth image target frame; and adjusting colors of a virtual object in an augmented frame based at least in part on the color measurements.
Abstract:
Disclosed is a method and apparatus for exemplars-based color classification. In one embodiment, the functions implemented include: processing an image captured by a camera to identify a first color profile that most closely matches colors of the image, wherein the first color profile is selected from a plurality of color profiles each color profile encoding data related to how two or more component colors appear under a different lighting condition.
Abstract:
Disclosed is a method and apparatus for selecting a part of SLAM map information of a first device for transmission to a second device in a collaborative SLAM environment. In one embodiment, the functions implemented include: determining whether a 3D registration transformation between a map of the first device and a map of the second device is available; and transmitting a part of map information of the first device to the second device according to one of a first strategy or a second strategy based on whether or not a 3D registration transformation between the map of the first device and the map of the second device is available.
Abstract:
A computer-implemented method of tracking a target object in an object recognition system includes acquiring a plurality of images with a camera. The method further includes simultaneously tracking the target object and dynamically building environment map data from the plurality of images. The tracking of the target object includes attempting to estimate a target pose of the target object with respect to the camera based on at least one of the plurality of images and based on target map data. Next, the method determines whether the tracking of the target object with respect to the camera is successful. If not, then the method includes inferring the target pose with respect to the camera based on the dynamically built environment map data. In one aspect the method includes fusing the inferred target pose with the actual target pose even if tracking is successful to improve robustness.