Abstract:
A method of performing context inference is described. The method includes collecting ambient light at a spectrometer sensor integrated in a portable device, characterizing the collected light to obtain optical information, comparing the optical information to optical data predetermined to match one or more contexts, inferring at least one characteristic of a specific context based on the comparison, and determining a probability that the portable device is in the specific context.
Abstract:
A vision based tracking system in a mobile platform tracks objects using groups of detected lines. The tracking system detects lines in a captured image of the object to be tracked. Groups of lines are formed from the detected lines. The groups of lines may be formed by computing intersection points of the detected lines and using intersection points to identified connected lines, where the groups of lines are formed using connected lines. A graph of the detected lines may be constructed and intersection points identified. Interesting subgraphs are generated using the connections and the group of lines is formed with the interesting subgraphs. Once the groups of lines are formed, the groups of lines are used to track the object, e.g., by comparing the groups of lines in a current image of the object to groups of lines in a previous image of the object.
Abstract:
Methods and apparatus for publishing services and performing queries for service in a network are described herein. Service descriptions writing in a native search description language are translated to a normalized schema. The normal schema is published to the network. Queries to the network, which may be written in any native search description language, are also translated to normalized schema prior to performing the search. Accordingly, all services available can be published and located in a query without consideration of the native search description language.
Abstract:
A method of auto-calibrating light sensor data of a mobile device includes, obtaining, by the mobile device, one or more reference parameters representative of light sensor data collected by a reference device. The method also includes collecting, by the mobile device, light sensor data from a light sensor included in the mobile device, itself. One or more sample parameters of the light sensor data obtained from the light sensor included in the mobile device are then calculated. A calibration model is then determined for auto-calibrating the light sensor data of the light sensor included in the mobile device based on the one or more reference parameters and the one or more sample parameters.
Abstract:
Methods, systems, and techniques to enhance computer vision application processing are disclosed. In particular, the methods, systems, and techniques may reduce power consumption for computer vision applications and improve processing efficiency for computer vision applications.
Abstract:
Embodiments of the present invention are directed toward providing intelligent sampling strategies that make efficient use of an always-on camera. To do so, embodiments can utilize sensor information to determine contextual information regarding the mobile device and/or a user of the mobile device. A sampling rate of the always-on camera can then be modulated based on the contextual information.
Abstract:
Methods and apparatus relating to enabling augmented reality applications using eye gaze tracking are disclosed. An exemplary method according to the disclosure includes displaying an image to a user of a scene viewable by the user, receiving information indicative of an eye gaze of the user, determining an area of interest within the image based on the eye gaze information, determining an image segment based on the area of interest, initiating an object recognition process on the image segment, and displaying results of the object recognition process.
Abstract:
A mobile device, such as a smartphone or a tablet computer, can execute functionality for configuring a network device in a communication network and for subsequently controlling the operation of the network device with little manual input. The mobile device can detect, from the network device, sensor information that is indicative of configuration information associated with the network device. The mobile device can decode the received sensor information to determine the configuration information and can accordingly enroll the network device in the communication network. In response to determining to control the enrolled network device, the mobile device can capture an image of the network device and can use the captured image to unambiguously identify the network device. The mobile device can establish a communication link with the network device and can transmit one or more commands to vary operating parameters of the network device.
Abstract:
An apparatus and method for a framework exposing an API (application programming interface) to web-based server applications on the internet or in the cloud is presented. The API allows server applications to retrieve sensor data from a mobile device via a low-power sensor core processor on a mobile device. This API eliminates effort and cost associated with developing and promoting a new mobile device client application. The API framework includes APIs that web-based application may use to fetch sensor data from one or more particular sensors on the mobile device.
Abstract:
Reference free tracking of position by a mobile platform is performed using images of a planar surface. Tracking is performed optical flow techniques, such as pyramidal Lucas-Kanade optical flow with multiple levels of resolution, where displacement is determined with pixel accuracy at lower resolutions and at sub-pixel accuracy at full resolution, which improves computation time for real time performance. Periodic drift correction is performed by matching features between a current frame and a keyframe. The keyframe may be replaced with the drift corrected current image.