Intel Corporation

James Granger

Peter W Winer

Ali Mehdizadeh

Russell Scott Love

Kabeer R Manchanda

Varun Nasery

Gerald A Pham

Yu-Tseh Chi

Ka-Kei Wong

Oscar Nestares

Yi Wu

Kalpana Seshadrinathan

Daniel C Middleton

Roger Jellicoe

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

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

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

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Larkspur, CA, United States of America

James Granger