Intel Corporation

Ali Mehdizadeh

James Granger

Peter W Winer

Russell Scott Love

Kabeer R Manchanda

Varun Nasery

Yu-Tseh Chi

Gerald A Pham

Ka-Kei Wong

Michelle Xiaohong Gong

Oscar Nestares

Yi Wu

Horst Haussecker

Kalpana Seshadrinathan

Krishna Kaza

Tam Le

Max T Stein

Apparatuses, methods and storage medium associated with multi-camera devices are disclosed herein. In embodiments, a multi-camera device may include 3 or more camera sensors disposed on a world facing side of the multi-camera device. Further, the multi-camera device may be configured to provide a soft shutter button at a location on an opposite side to the world facing side, coordinated with locations of the 3 or more camera sensors that reduces likelihood of blocking of one or more of the 3 or more camera sensors. Other embodiments may be disclosed or claimed.

Multi-camera device

Improved techniques for media item sharing are described. In one embodiment, for example, an apparatus may comprise a classification module to assign a media item to a content category, a correlation module to determine context information for the media item, and an estimation module to determine a set of relevance values for a set of contacts based at least in part on a sharing history and to generate a set of suggested recipients for the media item based at least in part on the set of relevance values and the set of contacts. Other embodiments are described and claimed.

Media sharing techniques

Systems and methods for determining point-to-point distances from 3D image data. In some embodiments, two measure points, for example specified by a user, represent endpoints on an object of interest within an image frame. Assuming all points lying between these endpoints also belong to the object of interest, additional 3D data associated with points that lie along a measurement line defined by the measure points may be leveraged to provide a robust distance measurement. In some embodiments, total least squares fitting is performed, for example through Robust Principal Component Analysis (RPCA) to identify linear structures within the set of the 3D coordinates on the measurement line. In some exemplary embodiments, the minimum covariance determinant (MCD) estimator of the covariance matrix of the data is computed for a highly robust estimate of multivariate location and multivariate scatter.

Point-to-point distance measurements in 3D camera images

Growing community of inventors

Belmont, CA, United States of America

Ali Mehdizadeh