Texas Instruments Corporation

Samsung Electronics Co., Ltd.

Michael Oliver Polley

Hamid Rahim Sheikh

Srinath Hosur

Manish Goel

Youngjun Yoo

Alan Gatherer

Xiaolin Lu

Chenchi Luo

Sourabh Ravindran

Walter Y Chen

Yingmao Li

Yaqi Cheng

David D Liu

Muhammad Zubair Ikram

Donald Phillip Shaver

John Seokjun Lee

George Q Chen

Adam M Chellali

David Patrick Magee

Srikanth Gummadi

Arthur John Redfern

Seok-Jun Lee

Song Wu

Ralph E Payne

Domingo G Garcia

Kushal Kardam Vyas

Gyeongmin Choe

William C Timm

Yaser M Ibrahim

Ping Tao

Terence J Riley

Eko Nugroho Onggosanusi

Anand Ganesh Dabak

Raja Bala

Jaiganesh Balakrishnan

Gene A Frantz

Nirmal Chindhu Warke

John W Glotzbach

Fernando Alberto Mujica

Long N Le

William J Bright

Kaimo Lin

Fred Jay Reuter

Douglas B Weiner

Dennis G Mannering

Injoon Hong

Vitali Loseu

Michael T Direnzo

Kyong Ho Lee

Hyejung Kim

Paul E Schurr

Gregory L Waters

Warren L Franz

Seokjun Lee

Kyong-Ho Lee

An apparatus includes at least one processing device configured to obtain input frames from a video. The at least one processing device is also configured to generate a forward flow from a first input frame to a second input frame and a backward flow from the second input frame to the first input frame. The at least one processing device is further configured to generate an occlusion map at an interpolated frame coordinate using the forward flow and the backward flow. The at least one processing device is also configured to generate a consistency map at the interpolated frame coordinate using the forward flow and the backward flow. In addition, the at least one processing device is configured to perform blending using the occlusion map and the consistency map to generate an interpolated frame at the interpolated frame coordinate.

Pixel blending for synthesizing video frames with occlusion and watermark handling

A method includes obtaining multiple video frames. The method also includes determining whether a bi-directional optical flow between the multiple video frames satisfies an image quality criterion for bi-directional consistency. The method further includes identifying a non-linear curve based on pixel coordinate values from at least two of the video frames. The at least two video frames include first and second video frames. The method also includes generating interpolated video frames between the first and second video frames by applying non-linear interpolation based on the non-linear curve. In addition, the method includes outputting the interpolated video frames for presentation.

Accurate optical flow interpolation optimizing bi-directional consistency and temporal smoothness

A method includes obtaining, using at least one processor, an input image frame. The method also includes identifying, using the at least one processor, one or more regions of the input image frame containing redundant information. In addition, the method includes performing, using the at least one processor, an image processing task using the input image frame. The image processing task is guided based on the one or more identified regions of the input image frame. The method may further include obtaining, using the at least one processor, a coarse depth map associated with the input image frame. Performing the image processing task may include refining the coarse depth map to produce a refined depth map, where the refining of the coarse depth map is guided based on the one or more identified regions of the input image frame.

Guided backpropagation-gradient updating for image processing task using redundant information from image

A method includes obtaining, using at least one processor, first and second input image frames, where the first and second input image frames are associated with first and second image planes, respectively. The method also includes obtaining, using the at least one processor, a depth map associated with the first input image frame. The method further includes producing another version of the depth map by performing one or more times: (a) projecting, using the at least one processor, the first input image frame to the second image plane in order to produce a projected image frame using (i) the depth map and (ii) information identifying a conversion from the first image plane to the second image plane and (b) adjusting, using the at least one processor, at least one of the depth map and the information identifying the conversion from the first image plane to the second image plane.

Super-resolution depth map generation for multi-camera or other environments

A method includes, in a first mode, positioning first and second tiltable image sensor modules of an image sensor array of an electronic device so that a first optical axis of the first tiltable image sensor module and a second optical axis of the second tiltable image sensor module are substantially perpendicular to a surface of the electronic device, and the first and second tiltable image sensor modules are within a thickness profile of the electronic device. The method also includes, in a second mode, tilting the first and second tiltable image sensor modules so that the first optical axis of the first tiltable image sensor module and the second optical axis of the second tiltable image sensor module are not perpendicular to the surface of the electronic device, and at least part of the first and second tiltable image sensor modules are no longer within the thickness profile of the electronic device.

Apparatus and method for operating multiple cameras for digital photography

A mobile hyperspectral camera system is described. The mobile hyperspectral camera system comprises a mobile host device comprising a processor and a display: a plurality of cameras, coupled to the processor, configured to capture images in distinct spectral bands; and a hyperspectral flash array, coupled to the processor, configured to provide illumination to the distinct spectral bands. A method of implementing a mobile hyperspectral camera system is also described.

Mobile hyperspectral camera system and human skin monitoring using a mobile hyperspectral camera system

A method to map a plurality of feature maps of a neural network onto a memory hierarchy includes mapping a first feature map of the plurality of feature maps to a memory in a memory hierarchy having available memory space and providing quickest access to the first feature map. The method also includes, when the first feature map expires, removing the first feature map from the memory used to store the first feature map.

Dynamic memory mapping for neural networks

An embodiment of this disclosure provides a wearable device. The wearable device includes a memory configured to store a plurality of content for display, a transceiver configured to receive the plurality of content from a connected device, a display configured to display the plurality of content, and a processor coupled to the memory, the display, and the transceiver. The processor is configured to control the display to display at least some of the plurality of content in a spatially arranged format. The displayed content is on the display at a display position. The plurality of content, when shown on the connected device, is not in the spatially arranged format. The processor is also configured to receive movement information based on a movement of the wearable device. The processor is also configured to adjust the display position of the displayed content according to the movement information of the wearable device.

Wearable augmented reality head mounted display device for phone content display and health monitoring

Methods and systems for compressed domain progressive application of computer vision techniques. A method for decoding video data includes receiving a video stream that is encoded for multi-stage decoding. The method includes partially decoding the video stream by performing one or more stages of the multi-stage decoding. The method includes determining whether a decision for a computer vision system can be identified based on the partially decoded video stream. Additionally, the method includes generating the decision for the computer vision system based on decoding of the video stream. A system for encoding video data includes a processor configured to receive the video data from a camera, encode the video data received from the camera into a video stream for consumption by a computer vision system, and include metadata with the encoded video stream to indicate whether a decision for the computer vision system can be identified from the metadata.

Progressive compressed domain computer vision and deep learning systems

A method of capturing a photo using a mobile device is described. The method comprises detecting a signature motion of the mobile device; capturing video using a camera of the mobile device upon detecting the signature motion; and automatically identifying a start frame and an end frame of the captured images using neural networks. A mobile device for capturing a photo is also described.

Capturing a photo using a signature motion of a mobile device

A method for eye tracking in a head-mountable device (HMD) includes determining at least one object within a three-dimensional (3D) extended reality (XR) environment as an eye tracking calibration point and determining a 3D location of the eye tracking calibration point within the XR environment. The method also includes detecting a gaze point of a user of the HMD and comparing the detected gaze point to an area of the XR environment that includes the 3D location of the eye tracking calibration point. The method further includes, in response to determining that the user is looking at the eye tracking calibration point based on the detected gaze point being within the area, calibrating, using a processor, the HMD to correct a difference between the eye tracking calibration point and the detected gaze point. In addition, the method includes, in response to determining that the user is not looking at the eye tracking calibration point based on the detected gaze point being outside of the area, maintaining an existing calibration of the HMD.

System and method for natural three-dimensional calibration for robust eye tracking

A method of implementing a user interface on a mobile device is described. The method comprises learning user preference and context information; storing user preferences associated with the user-centric interface on at least one of the device or a secure server; determining and updating the context information and the user preferences on at least one of the device or a secure server.

User-centric, context aware user interface

A method includes capturing multiple pairs of images of a scene at different exposures using at least one camera of an electronic device. Each pair of images includes (i) an ambient image of the scene captured without using a flash of the electronic device and (ii) a flash image of the scene captured using the flash of the electronic device. The method also includes rendering a final image of the scene with a bokeh that is determined using the multiple pairs of images. One of the ambient images or the flash images are captured in order of increasing exposure time, and the other of the ambient images or the flash images are captured in order of decreasing exposure time. The method may also include estimating a depth map associated with the scene using the pairs of images, where the bokeh is based on the depth map.

Apparatus and method for generating low-light images with improved bokeh using mobile electronic device

A wearable device is provided for authentication that includes a memory element and processing circuitry coupled to the memory element. The memory element configured to store a plurality of user profiles. The processing circuitry is configured to identify a pairing between the wearable device and a device. The processing circuitry is configured to identify a user of the wearable device. The processing circuitry also is configured to determine if the identified user matches a profile of the plurality of user profiles. The processing circuitry is also configured to responsive to the identified user matching the profile, determine if the profile provides authorization to access the device. The processing circuitry is also configured to responsive to the profile providing authorization to the device, send a message to the device authorizing access to the device.

Method and apparatus for a wearable based authentication for improved user experience

A system comprises a wireless device that communicates across a spectrum having a plurality of sub-channels. The wireless device comprises a plurality of antennas through which the wireless device communicates with another wireless device, wherein each antenna communicates with the other wireless device via an associated communication pathway. The wireless device further comprises sub-channel power analysis logic coupled to the antennas and adapted to determine which communication pathway has the highest communication quality on a sub-channel by sub-channel basis. The wireless device still further comprises diversity selection logic coupled to the sub-channel power analysis logic and adapted to determine a weighting vector for an associated antenna based on the communication quality, wherein the weighting vector specifies a relative transmission power for each sub-channel for the associated antenna.

Frequency-domain subchannel transmit antenna selection and power pouring for multi-antenna transmission

Growing community of inventors

Garland, TX, United States of America

Michael Oliver Polley