Hewlett-Packard Company

Apple Inc.

Hewlett-Packard Development Company, L.p.

Stmicroelectronics Gmbh

Google Inc.

Broadcom Corporation

Hewlett-Packard Development, L.p.

Gary Lee Vondran, Jr

Mark Owen Homewood

Dan C Lelescu

Paolo Faraboschi

Ricardo Jansson Motta

Brett D Miller

James R Nottingham

Geoffrey M Brown

Anthony Jarvis

Manohar B Srikanth

Douglas Heins

Jun Li

Xiaofan Lin

Felipe Bacim De Araujo E Silva

C Brian Atkins

Brian E Hoffmann

Scott C Clouthier

Sebastien Eric Gilles Leprince

Shamik Ganguly

Tong Zhang

Seung Wook Kim

Stephen Philip Cheatle

Nicolas V Scapel

Jeffrey L Trask

Kathrin Berkner-Cieslicki

Mei Chen

Tobias Rick

Emiliano Bartolome

Robert K Molholm

Emily B Cooper

Alexander J Starr

Dominic Lee

Charles A Untulis

Gabriel D Molina

Charles Dunlop Macfarlane

Giuseppe Desoli

In one general aspect, a method can include capturing, using an image sensor, a first raw image at a first resolution, converting the first raw image to a digitally processed image using an image signal processor, and analyzing at least a portion of the digitally processed image based on a processing condition. The method can include determining that the first resolution does not satisfy the processing condition; and triggering capture of a second raw image at the image sensor at a second resolution greater than the first resolution.

Dynamic capture parameter processing for low power

Systems and methods are described for generating image content. The systems and methods may include, in response to receiving a request to cause a sensor of a computing device to identify image content associated with optical data captured by the sensor, detecting a first sensor data stream having a first image resolution, and detecting a second sensor data stream having a second image resolution. The systems and method may also include identifying, by processing circuitry of the computing device, at least one region of interest in the first sensor data stream, determining cropping coordinates that define a first plurality of pixels in the at least one region of interest in the first sensor data stream, and generating a cropped image representing the at least one region of interest.

Low power machine learning using real-time captured regions of interest

Novel viewpoints may be rendered using arrays of camera images with synthesized viewpoints. Different viewpoints of a scene may be captured via image sensors. Depth information may be determined for the captured viewpoints. An array of images may be generated that includes synthetic viewpoints generated from the captured viewpoints and depth information. A request to render a novel viewpoint may be received. Then novel viewpoint may be rendered using the array of images with synthetic viewpoints.

Synthesized camera arrays for rendering novel viewpoints

Various implementations disclosed herein include devices, systems, and methods that provide images for displaying a 3D appearance of a tracked object on a view dependent device. In some implementations, a set of multiple images of the object from different capture positions is provided and then adjusted such as to render the object in focus when using the adjusted images for display on the view dependent device. In some implementations, the set of multiple images is provided that includes virtual images generated using virtual image sensors that may improve the appearance of out of focus regions (e.g., outside the 3D object appearance) on the view dependent device. In some implementations, the set of multiple images of a person provides a hologram of the person (e.g., left and right eye views provide the appearance of a 3D person) where the images are adjusted to improve gaze direction of eyes of the person.

Holographic video sessions

A light field panorama system in which a user holding a mobile device performs a gesture to capture images of a scene from different positions. Additional information, for example position and orientation information, may also be captured. The images and information may be processed to determine metadata including the relative positions of the images and depth information for the images. The images and metadata may be stored as a light field panorama. The light field panorama may be processed by a rendering engine to render different 3D views of the scene to allow a viewer to explore the scene from different positions and angles with six degrees of freedom. Using a rendering and viewing system such as a mobile device or head-mounted display, the viewer may see behind or over objects in the scene, zoom in or out on the scene, or view different parts of the scene.

Panoramic light field capture, processing, and display

This disclosure pertains to operations, systems, and computer readable media to capture images of a scene using a camera array and process the captured images based on a viewer's point of view (POV) for immersive augmented reality, live display wall, head mounted display, video conferencing, and similar applications. In one implementation, the disclosed subject matter provides a complete view to a viewer by combining images captured by a camera array. In another implementation, the disclosed subject matter tracks the viewer's POV as he moves from one location to another and displays images in accordance with his varying POV. The change of the viewer's POV is inclusive of movements in the X, Y, and Z dimensions.

Light field capture

Aspects of depth map generation and post capture focusing and re-focusing are described. According to one embodiment, a depth map is generated. The depth map may include a mapping among relative depth values in a field of view of an image based on a difference between pixels of a first image and pixels of a second image. An edge map may also be generated by identifying edges in at least one of the first image or the second image. Using the depth map and the edge map, the relative depth values in the depth map may be smoothed using the edge map. In this manner, certain discontinuities in depth values may be smoothed within edge-bounded regions defined by the edge map. The depth map may be used for focusing and re-focusing, for example, or for object extraction, scene understanding, or gesture recognition, among other imaging processes.

Depth map generation and post-capture focusing

A user-specified layout of graphic objects is received. A relative layout specification is derived from the user-specified layout. The relative layout specification describes relative positions of the graphic objects. A final layout of the graphic objects is determined in accordance with the relative layout specification. The final layout includes a specification of size dimensions and positions of the graphic objects on a page. The final layout of graphic objects is output.

Arranging graphic objects on a page with relative position based control

There is disclosed a data processor having a clustered architecture that comprises at least one branching cluster, at least one non-branching cluster and remote conditional branching control circuitry. Each of the clusters is capable of computing branch conditions, though only the branching cluster is operable to perform branch address computations. The remote conditional branching control circuitry, which is associated with each of the clusters, is operable in response to sensing a conditional branch instruction in a non-branching cluster to (i) cause the branching cluster to compute a branch address and a next program counter address, (ii) cause the non-branching cluster to compute a branch condition, and (iii) communicate the computed branch condition from the non-branching cluster to the branching cluster. The data processor then uses the computed branch condition to select one of the branch address or the next program counter address.

System and method for reducing power consumption in a data processor having a clustered architecture

A method and system for automatically producing a page using frames of a video stream. A plurality of video frames from a video stream or clip are read, and multiple frames are extracted from the video stream, based on the content of each frame. Frames which neighbor the extracted frames in the video stream are also extracted, with the number of neighboring frames to be extracted being controlled by parameters provided to the page production system. The resolution of the images in the extracted video frames is enhanced, based on the information in each extracted frame and each respective extracted neighboring frame. The enhanced images are automatically cropped to enhance the important features in each image, and the cropped images are composed into one or more pages that are representative of the content of the video stream.

System and method for producing a page using frames of a video stream

Systems and methods according to the present invention provide the capability to identify, record and employ object reuse in print jobs. Reuse information, e.g., a number of instances of a particular object and/or the pages wherein the object is used, is identified as part of print job processing. Subsequent printing process, e.g., object caching and print job partitioning, can then use the reuse information.

Method and systems for processing print jobs

A data object of a data file that causes an error in an application is identified. In a method for identifying the data object, the data file is processed with the application and the interactions between the application and an operating system are intercepted. The intercepted interactions are correlated with the error and the data object of the data file is correlated with at least one of the intercepted interactions to identify the data object that causes the error.

Identifying an object in a data file that causes an error in an application

Growing community of inventors

San Carlos, CA, United States of America

Gary Lee Vondran, Jr