Intel Corporation

Sagi Ben Moshe

Ron Kimmel

Michael Bronstein

Barak Freedman

Alex Bronstein

Aviad Zabatani

Erez Sperling

Omer Sella

Ido Nissenboim

In accordance with disclosed embodiments, there is described a depth camera calibration system which includes: a depth camera to be calibrated; a calibration application to execute upon a mobile device, the calibration application to: (i) determine a precise image size of a calibration image to be displayed to a screen of the mobile device based on a screen size of the mobile device, the calibration image having embedded therein a plurality of objects of a known size, (ii) encode the known size of the objects into an optical machine-readable data representation, and (iii) display the encoded optical machine-readable data representation to the mobile device; in which the depth camera is to read the optical machine-readable data representation displayed by the mobile device to determine the known size of the objects of the calibration image; in which the calibration application is to display the calibration image to the mobile device; and in which an imager of the depth camera is to capture the objects of the coded image pattern and calibrate based on the known size of the objects of the captured calibration image. Other related embodiments are disclosed.

Dynamic depth camera system calibration using mobile dispay device

Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.

Calibration of a three-dimensional acquisition system

Techniques and configurations for an apparatus for projecting a light pattern on an object are described. In one embodiment, the apparatus may include a laser arrangement configured to generate a laser line, a tiltable micro-electromechanical system (MEMS) mirror configured to tiltably reflect the laser line, and a controller configured to control tilting of the MEMS mirror to enable the reflected laser line to project a light pattern on the object. The controller may be configured to control the MEMS mirror with a tilting frequency that is complementary to an optical power of the laser line, or to control the optical power of the laser line to be complementary to the tilting frequency of the MEMS mirror.

MEMS scanning mirror light pattern generation

A method for acquiring three dimensional coded light data, comprising receiving coded light data through a camera; and converting said received coded light data to representative data, said representative data being reduced in an amount in comparison to said received coded light data, wherein said received coded light data can be reconstructed from said representative data.

Method and system for acquisition, representation, compression, and transmission of three-dimensional data

A projector illuminates an object, within the field of view of a camera, with a sequence of code patterns. The camera captures the illuminated object and provides object images to a decoder to convert the code patterns into code. A transition locator locates discontinuities in the code pattern images. A dequantizer reconstructs a range image from those discontinuities and said code.

Three-dimensional data acquisition

In a time-multiplexed structured (coded) light camera, the coded light patterns are formed by means of an array of laser sources, and binarizations of the light patterns are performed by computing the dark and bright frames from the code patterns themselves.

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Kiryat Byalik, Israel

Sagi Ben Moshe