Intel Corporation

Sin Lin Wu

Jorge E Caviedes

Dmitri Bitouk

Artem Zinevich

Frank Ghenassia

A processor computes a measure of input image structural complexity of an input image, and searches a database of true positives to find one or more entries in the database that represent true positive images that are structurally similar to the input image. The processor compares a measure of signal quality of the input image and a measure of signal quality of one of the true positive images, as retrieved from the database, and based on the comparison updates a control variable that configures a signal quality conditioning process that is to be performed on the input image prior to processing of the input image by a computer vision processor thus improving performance of the computer vision task. Other embodiments are also described and claimed.

Control of computer vision pre-processing based on image matching using structural similarity

Three-dimensional video is presented on a two-dimensional display. The view of the video is driven by user interaction. In one example, a two-dimensional (2D) video sequence in real time with a first view is synthesized from a video image sequence with depth captured by a first device. The 2D video sequence with the first view is provided to a second device in real time. A command is received from the second device to change a view of the 2D video sequence as the video sequence is rendered. The view of the 2D video sequence is changed as it is rendered to a 2D video sequence with a second view, and the 2D video sequence with the second view is provided to the second device in real time.

Method and apparatus to present three-dimensional video on a two-dimensional display driven by user interaction

Techniques are disclosed to adaptively control an image sensor and image signal processor (ISP), collectively known as an image pipeline, such that a minimum amount of power is consumed by an electronic device while producing images that can be accurately analyzed by a computer vision application. The techniques disclosed herein can be implemented in various electronic devices capable of capturing and processing image data, such as, for example, smart phones, wearable computers, laptops, tablets, and other mobile computing or imaging systems. In an embodiment, the techniques disclosed herein are implemented in a system-on-chip device.

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Tempe, AZ, United States of America

Sin Lin Wu