Google Inc.

Siemens Medical Solutions Usa, Inc.

Siemens Corporation

Jie Shao

Dorin Comaniciu

Bogdan Georgescu

Shaohua Kevin Zhou

Ant Oztaskent

Yaroslav Volovich

Andrew Timothy Szybalski

Luc Vincent

Andrew Robert Kirmse

Stephen Chau

Emil Constantin Praun

Adrian Barbu

Stephane Lafon

Gokay Baris Gultekin

Muxing Chen

Stéphane Lafon

Jonathan Dowdall

Chandan Gopal Lodha

Jan Willem Maarse

Implementations disclosed herein provide for a third-party application an ability to access a first-party notification interface without receiving credentials linked to a first-party user account. In addition, a device-level permission is established such that each third-party application operating on a client device does not need to seek permission to access the notification interface. A third-party application may request an access code from a client device. The access code may be presented to an authentication server. The authentication server may provide an access token and a refresh token to the third-party application. The third party application may provide the access token and data to be included in a notification to the first-party notification interface.

Automatic discovery and retrieval of interoperable applications

Systems, methods, and computer storage mediums are provided for correcting the placement of an object on an image. An example method includes providing the image and depth data that describes the depth of the three-dimensional scene captured by the image. The depth data describes at least a distance between a camera that captured the three-dimensional scene and one or more structures in the scene and a geolocation of the camera when the three-dimensional scene was captured. When the object is moved from a first location on the image to a second location on the image, a set of coordinates that describes the second location relative to the image is received. The set of coordinates are then translated into geolocated coordinates that describe a geolocation that corresponds to the second location. The set of coordinate is translated, at least in part, using the depth data associated with the image.

3D object positioning in street view

A computing system is described that determines, based on a location history, a content-viewing location associated with a user of a mobile computing device and identifies a media output device located at the content-viewing location. Responsive to determining that the mobile computing device is located at the content-viewing location and in proximity to the media output device at a current time, the computing system determines, based on a plurality of features of the media output device, various media recommendations for the user at the current time. The plurality of features include an indication of whether the media output device is operating in an on state at the current time. The computing system outputs, for transmission to the mobile computing device, an indication of the various media recommendations.

Providing timely media recommendations

Embodiments of the present invention enable displaying a plurality of driving direction steps that form a driving directions path between a start address and a destination address; receiving input selecting a driving direction step of said plurality of driving direction steps; and displaying a panoramic image of a geographic area where a driving action associated with said selected driving direction step would be performed by a driver. In other embodiments, the panoramic image is replaced and/or complemented with one or more of 3D models, full-motion video, full-motion video of 360 degrees images, and live feeds from video cameras to provide enhanced driving directions.

Panoramic images within driving directions

The present invention is directed to a method for populating a database with a set of images of an anatomical structure. The database is used to perform appearance matching in image pairs of the anatomical structure. A set of image pairs of anatomical structures is received, where each image pair is annotated with a plurality of location-sensitive regions that identify a particular aspect of the anatomical structure. Weak learners are iteratively selected and an image patch is identified. A boosting process is used to identify a strong classifier based on responses to the weak learners applied to the identified image patch for each image pair. The responses comprise a feature response and a location response associated with the image patch. Positive and negative image pairs are generated. The positive and negative image pairs are used to learn a similarity function. The learned similarity function and iteratively selected weak learners are stored in the database.

System and method for using a similarity function to perform appearance matching in image pairs

A method for generating Pairwise Active Appearance Models (PAAMs) that characterize shape, appearance and motion of an object and using the PAAM to track the motion of an object is disclosed. A plurality of video streams is received. Each video stream includes a series of image frames that depict an object in motion. Each video stream includes an index of identified motion phases that are associated with a motion cycle of the object. For each video stream, a shape of the object is represented by a shape vector. An appearance of an object is represented by an appearance vector. The shape and appearance vectors associated at two consecutive motion phases are concatenated. Paired data for the concatenated shape and appearance vectors is computed. Paired data is computed for each two consecutive motion phases in the motion cycle. A shape subspace is constructed based on the computed paired data. An appearance subspace is constructed based on the computed paired data. A joint subspace is constructed using a combination of the shape subspace and appearance subspace. A PAAM is generated using the joint subspace and the PAAM is stored in a database.

Method for characterizing shape, appearance and motion of an object that is being tracked

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Sunnyvale, CA, United States of America

Jie Shao