Intel Corporation

Daniel C Middleton

Jianbo Shi

Oscar Nestares

Lucas B Ainsworth

Martin Meloun

Ned M Smith

Robert L Vaughn

Luis S Kida

Charles Baron

Peter W Winer

Evan R Green

Kabeer R Manchanda

James Granger

Varun Nasery

Gilson Goncalves De Lima

Todd A Keaffaber

Yedong Niu

Shawn Amundson

Roger Jellicoe

Philip Kim

Christopher Bernard

An apparatus and method include generating a trusted computing base (TCB) component identifier (TCI) of a current component of a computing system, generating a compound device identifier (ID) (CDI) of the current component from a CDI of a previous component of the computing system and the TCI of the current component, and determining a size of the TCI of the current component. The system and method further include summing the size of the TCI of the current component and the cumulative size of the TCIs of previous components of the computing system to generate a current cumulative size, combining the current cumulative size and the CDI of the current component, and including the combined current cumulative size and the CDI of the current component in a chain of measurements for attestation of the computing system.

Attestation with a quantified trusted computing base

In a method for operating a node in a blockchain network, a node in the network automatically determines whether a new block has been committed to a blockchain in the network. In response to determining that the new block has been committed, the node automatically uses a block identifier for the new block to generate a prestochanistic timing value. Also, the node automatically uses the prestochanistic timing value to determine whether to trigger a contingent operation. For instance, the node may automatically use a function that is both prestochastic and deterministic to determine a current expiration value for the node, and the node may use the current expiration value to determine whether registration for the node should be renewed. The node may automatically send a re-registration request to the blockchain network in response to a determination that registration for the node should be renewed. Other embodiments are described and claimed.

Methods and apparatus to manage timing in a blockchain network

Systems, apparatuses and methods may provide for technology that determines an updated data state of a local oracle node and reconciles, in accordance with a set of consensus rules, the updated data state with one or more remote data states corresponding to a distributed network of oracle nodes to obtain a reconciled data state. The technology may also submit a transaction to a blockchain node based on the reconciled data state.

Distributed blockchain oracle

Techniques are provided for synthesis of transformed image views, based on a reference image, using depth information. The transformed image views may simulate a change in position or focal length of a camera that produced the reference image. An example system includes an image transformation circuit configured to transform the reference image corresponding to a first viewpoint, to a transformed image corresponding to a second viewpoint. The system also includes an inverse warping circuit configured to calculate a mapping from the pixels of the transformed image to corresponding pixels of the reference image. The system further includes a hole detection circuit configured to detect holes in the transformed image based on depth discontinuities between the reference and transformed images; and a hole filling circuit configured to in-fill the detected holes using a sampling of selected neighboring pixels from the reference image, to synthesize a view based on the transformed image.

Synthesis of transformed image views

Image location selection is described for use in a depth photography system. In one example, a method includes receiving a selection from a user of a position in a captured image, comparing the selected position to objects in the image, selecting whether the selected position is intended to be within an object or outside an object, refining the position based on the selection, and determining a depth for an object corresponding to the refined position.

Image location selection for use in depth photography system

Techniques for projecting virtual images are described herein. A plane of a surface may be identified, and a virtual image is projected onto the plane of the physical surface. The virtual image is rendered at a graphical user interface of a mobile computing device.

Projecting a virtual image at a physical surface

Techniques are disclosed for adding interactive features to videos to enable users to create new media using a dynamic blend of motion and still imagery. The interactive techniques can include allowing a user to change the starting time of one or more subjects in a given video frame, or only animate/play a portion of a given frame scene. The techniques may include segmenting each frame of a video to identify one or more subjects within each frame, selecting (or receiving selections of) one or more subjects within the given frame scene, tracking the selected subject(s) from frame to frame, and alpha-matting to play/animate only the selected subject(s). In some instances, segmentation, selection, and/or tracking may be improved and/or enhanced using pixel depth information (e.g., using a depth map).

Techniques for adding interactive features to videos

In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for implementing multi-lens array cameras and mounts. In one embodiment there is a lens mount assembly, having therein a lens mount with a front side and a back side; a lens array mounted to the front side of the lens mount, the lens array having a plurality of optics embedded within lenses mounted to the front side of the lens mount; a plurality of image capture circuits at the back side of the lens mount, the plurality of image capture circuits having a one to one correspondence to the lenses of the lens array mounted to the front side of the lens mount; and a plurality of receiving couplers at the front side of the lens mount, each to receive one of the lenses of the lens array, wherein the receiving couplers mechanically bring the optics of the respective lens mounted thereto into alignment with a corresponding one of the image capture circuits on the back side of the lens mount opposing the mounted lens. The lens mount assembly may be embodied within a camera body assembly such as a hand-held smart phone, a tablet computing device or a stand alone hand held camera. The lens mount assembly may be interchangeable with other lens mount assemblies for a multi-lens array camera. Other related embodiments are disclosed.

Systems, methods, and apparatuses for implementing multi-lens array cameras and mounts

Techniques for calibration of image capturing devices are described herein. The techniques include capturing one or more images at a first target, capturing one or more images at a second target, capturing one or more images at a third target, capturing one or more images at a fourth target, and calibrating a multi-camera system based on the captured images.

Multi-target camera calibration

Devices, systems and methods employing modular camera arrays are described. A two-dimensional array of cameras may be arranged in a non-rectangular array. A first camera, a second camera, and a third camera in the array may be located approximately equidistant from each other, and/or may be arranged approximately in an equilateral triangle, an isosceles triangle, a scalene triangle, and/or a right triangle.

Modular camera array

Techniques for image calibration are described herein. The techniques may include detecting features on a set of images, describing features on the set of images, determining a match between features of the image sets, determining a shift on the matched features based on camera positions associated with the matched features, determining a first homography between the camera positions and the determined shift, and determining a second homography based on a re-projection of three-dimensional features back to the cameras.

Camera calibration

Various embodiments are generally directed to repeated use of wavelet filters with different directional orientations each time to detect distances to edges in different directions in deriving a disparity map from multiple image bitmaps. A method includes subjecting an image bitmap to a first-order wavelet filter a selected number of times, an orientation of the first-order wavelet filter altered each time to create a first set of intermediate maps; and subjecting the first image bitmap to a second-order wavelet filter the selected number of times, an orientation of the second-order wavelet filter altered each time to create a second set of intermediate maps; the first-order and second-order wavelet filters, as well as their orientations, selected to be mathematically related such that the first-order wavelet filter approximates a sine function and the second-order wavelet filter approximates a related cosine function, both masked by a Gaussian. Other embodiments are described and claimed.

Growing community of inventors

Independence, MN, United States of America

Daniel C Middleton