Abstract: A vehicle camera system captures and transmits video to a user device, which includes a viewing device for playback of the captured video, such as virtual reality or augmented reality glasses. A rendering map is generated that indicates which pixels of the video frame (as identified by particular coordinates of the video frame) correspond to which coordinates of a virtual sphere in which a portion of the video frame is rendered for display. When a video frame is received, the rendering map is used to determine the texture values (e.g., colors) for coordinates in the virtual sphere, which is used to generate the display for the user. This technique reduces the rendering time when a user turns his or her head (e.g., while in virtual reality) and so it reduces motion and/or virtual reality sickness induced by the rendering lag.

Abstract: In embodiments of immersive interactive telepresence, a system includes a vehicle that captures an experience of an environment in which the vehicle travels, and the experience includes audio and video of the environment. User interactive devices receive the audio and the video of the environment, and each of the user interactive devices represent the experience for one or more users who are remote from the environment. A trajectory planner is implemented to route the vehicle based on obstacle avoidance and user travel intent as the vehicle travels in the environment. The trajectory planner can route the vehicle to achieve a location objective in the environment without explicit direction input from a vehicle operator or from the users of the user interactive devices.

Abstract: Techniques for automatically connecting to a service controller are described herein. In one example, a service controller device includes a processor and a computer-readable memory storage device storing executable instructions that cause the processor to broadcast at least one of an access credential, connection information or an access credential hash embedded in an audio signal. The processor can also authenticate a client device based on a transmission of at least one of the connection information, the access credential, or the access credential hash from the client device to the client connector and transmit data to the client device in response to authenticating the client device.

Abstract: A tele-immersive environment is described that provides interaction among participants of a tele-immersive session. The environment includes two or more set-ups, each associated with a participant. Each set-up, in turn, includes mirror functionality for presenting a three-dimensional virtual space for viewing by a local participant. The virtual space shows at least some of the participants as if the participants were physically present at a same location and looking into a mirror. The mirror functionality can be implemented as a combination of a semi-transparent mirror and a display device, or just a display device acting alone. According to another feature, the environment may present a virtual object in a manner that allows any of the participants of the tele-immersive session to interact with the virtual object.

Abstract: The subject disclosure is directed towards eye gaze detection based upon multiple cameras and/or light sources along with an adaptive homography mapping model. Learning of the model includes compensating for spatially-varying gaze errors and head pose dependent errors simultaneously in a unified framework. Aspects including training the model of adaptive homography offline using simulated data at various head positions.

Abstract: The description relates to facial tracking. One example can include an orientation structure configured to position the wearable device relative to a user's face. The example can also include a camera secured by the orientation structure parallel to or at a low angle to the user's face to capture images across the user's face. The example can further include a processor configured to receive the images and to map the images to parameters associated with an avatar model.

Abstract: Image processing for productivity applications is provided. An image may be received by a computing device. The computing device may detect the edges comprising the received image and adjust the image based on a skew state of the detected edges. The computing device may then process the adjusted image to correct imbalances. The computing device may then assign an image classification to the processed image. The computing device may then adjust the processed image based on the assigned image classification.

Abstract: A tele-immersive environment is described that provides interaction among participants of a tele-immersive session. The environment includes two or more set-ups, each associated with a participant. Each set-up, in turn, includes mirror functionality for presenting a three-dimensional virtual space for viewing by a local participant. The virtual space shows at least some of the participants as if the participants were physically present at a same location and looking into a mirror. The mirror functionality can be implemented as a combination of a semi-transparent mirror and a display device, or just a display device acting alone. According to another feature, the environment may present a virtual object in a manner that allows any of the participants of the tele-immersive session to interact with the virtual object.

Abstract: The subject disclosure is generally directed towards eye gaze detection based upon both eyes being fixated on the same gaze location. In one aspect, an image including a subject's left and right eyes is captured, from which left and right glint and pupil center information are extracted. The left and right glint data and the left and right pupil data are used with left and right bias correction matrices to jointly determine a gaze location.

Abstract: Dynamic texture mapping is used to create a photorealistic three dimensional animation of an individual with facial features synchronized with desired speech. Audiovisual data of an individual reading a known script is obtained and stored in an audio library and an image library. The audiovisual data is processed to extract feature vectors used to train a statistical model. An input audio feature vector corresponding to desired speech with which the animation will be synchronized is provided. The statistical model is used to generate a trajectory of visual feature vectors that corresponds to the input audio feature vector. These visual feature vectors are used to identify a matching image sequence from the image library. The resulting sequence of images, concatenated from the image library, provides a photorealistic image sequence with facial features, such as lip movements, synchronized with the desired speech. This image sequence is applied to the three-dimensional model.

Abstract: The large display interaction implementations described herein combine mobile devices with people tracking to enable new interactions including making a non-touch-sensitive display touch-sensitive and allowing personalized interactions with the display. One implementation tracks one or more mobile computing device users relative to a large computer-driven display, and configures content displayed on the display based on a distance a given mobile computing device user is from the display. Another implementation personalizes user interactions with a large display. One or more mobile computing device users are tracked relative to a display. The identity of each of the one or more mobile computing device users is obtained. Content displayed on the display is configured based on a distance an identified mobile computing device user is from the display and the identity of the user that provides the content.

Abstract: The subject disclosure is directed towards a technology by which dynamic hand gestures are recognized by processing depth data, including in real-time. In an offline stage, a classifier is trained from feature values extracted from frames of depth data that are associated with intended hand gestures. In an online stage, a feature extractor extracts feature values from sensed depth data that corresponds to an unknown hand gesture. These feature values are input to the classifier as a feature vector to receive a recognition result of the unknown hand gesture. The technology may be used in real time, and may be robust to variations in lighting, hand orientation, and the user's gesturing speed and style.

Abstract: Image processing for productivity applications is provided. An image may be received by a computing device. The computing device may detect the edges comprising the received image and adjust the image based on a skew state of the detected edges. The computing device may then process the adjusted image to correct imbalances. The computing device may then assign an image classification to the processed image. The computing device may then adjust the processed image based on the assigned image classification.

Abstract: The subject disclosure is generally directed towards eye gaze detection based upon both eyes being fixated on the same gaze location. In one aspect, an image including a subject's left and right eyes is captured, from which left and right glint and pupil center information are extracted. The left and right glint data and the left and right pupil data are used with left and right bias correction matrices to jointly determine a gaze location.

Abstract: Described is a technology by which medical patient facial images are acquired and maintained for associating with a patient's records and/or other items. A video camera may provide video frames, such as captured when a patient is being admitted to a hospital. Face detection may be employed to clip the facial part from the frame. Multiple images of a patient's face may be displayed on a user interface to allow selection of a representative image. Also described is obtaining the patient images by processing electronic documents (e.g., patient records) to look for a face pictured therein.

Abstract: A depth construction module is described that receives depth images provided by two or more depth capture units. Each depth capture unit generates its depth image using a structured light technique, that is, by projecting a pattern onto an object and receiving a captured image in response thereto. The depth construction module then identifies at least one deficient portion in at least one depth image that has been received, which may be attributed to overlapping projected patterns that impinge the object. The depth construction module then uses a multi-view reconstruction technique, such as a plane sweeping technique, to supply depth information for the deficient portion. In another mode, a multi-view reconstruction technique can be used to produce an entire depth scene based on captured images received from the depth capture units, that is, without first identifying deficient portions in the depth images.

Abstract: The subject disclosure is directed towards a technology by which dynamic hand gestures are recognized by processing depth data, including in real-time. In an offline stage, a classifier is trained from feature values extracted from frames of depth data that are associated with intended hand gestures. In an online stage, a feature extractor extracts feature values from sensed depth data that corresponds to an unknown hand gesture. These feature values are input to the classifier as a feature vector to receive a recognition result of the unknown hand gesture. The technology may be used in real time, and may be robust to variations in lighting, hand orientation, and the user's gesturing speed and style.

Abstract: Head pose tracking technique embodiments are presented that use a group of sensors configured so as to be disposed on a user's head. This group of sensors includes a depth sensor apparatus used to identify the three dimensional locations of features within a scene, and at least one other type of sensor. Data output by each sensor in the group of sensors is periodically input, and each time the data is input it is used to compute a transformation matrix that when applied to a previously determined head pose location and orientation established when the first sensor data was input identifies a current head pose location and orientation. This transformation matrix is then applied to the previously determined head pose location and orientation to identify a current head pose location and orientation.

Abstract: A system facilitates managing one or more devices utilized for communicating data within a telepresence session. A telepresence session can be initiated within a communication framework that includes a first user and one or more second users. In response to determining a temporary absence of the first user from the telepresence session, a recordation of the telepresence session is initialized to enable a playback of a portion or a summary of the telepresence session that the first user has missed.

Abstract: The privacy-preserving energy-efficient speaker implementations described herein improve user privacy while a user is listening to audio and can reduce the energy necessary to output the audio. This can be done by using parametric speakers and/or traditional loud-speakers. Signal splitting and masking can be used to improve user privacy. Additionally, a signal modulation technique which significantly reduces power requirements to output an audio signal, especially in the context of using parametric speakers, can also be employed.