Snap Inc.

C3d Augmented Reality Solutions Ltd

Ozi Egri

Eyal Zak

David Ben Ezra

Qi Pan

Andrew James McPhee

Jennica Pounds

Brent Michael Barkman

Matthias Kalkgruber

Daniel Wolf

Bo Ding

Among other things, embodiments of the present disclosure improve the functionality of computer imaging software and systems by facilitating the manipulation of virtual content displayed in conjunction with images of real-world objects and environments. Embodiments of the present disclosure allow different virtual objects to be moved onto different physical surfaces, as well as manipulated in other ways.

Augmented reality object manipulation

A method for limiting motion blur in a visual tracking system is described. In one aspect, the method includes accessing a first image generated by an optical sensor of the visual tracking system, identifying camera operating parameters of the optical sensor for the first image, determining a motion of the optical sensor for the first image, determining a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor, and adjusting the camera operating parameters of the optical sensor based on the motion blur level.

Dynamic adjustment of exposure and ISO to limit motion blur

Various embodiments provide for a registry for augmented reality (AR) objects, which can provide AR objects to a client device to support various software or hardware applications. For instance, some embodiments provide for an AR object registry that facilitates or enables registration of one or more AR objects in association with one or more locations across a planet.

Surfacing augmented reality objects

A method and apparatus for measuring a distance from a device to an object is described. One or more first images including the object are acquired by a first camera of the device and one or more first reference images are acquired by a second camera of the device, while the device is in a first position. One or more second images including the object and one or more second reference images are acquired by cameras of the device, while the device is in a second position, different from the first position. Based on the first and second reference images, information on the displacement of at least one camera of the device between the first and second position are determined. The distance from the device to the object is calculated based on the first and second images and the determined information on the displacement of the at least one camera.

Distance estimation using multi-camera device

Various embodiments provide systems, methods, devices, and instructions for performing simultaneous localization and mapping (SLAM) that involve initializing a SLAM process using images from as few as two different poses of a camera within a physical environment. Some embodiments may achieve this by disregarding errors in matching corresponding features depicted in image frames captured by an image sensor of a mobile computing device, and by updating the SLAM process in a way that causes the minimization process to converge to global minima rather than fall into a local minimum.

Systems and methods for simultaneous localization and mapping

A method of plane tracking comprising: capturing by a camera a reference frame of a given plane from a first angle; capturing by the camera a destination frame of the given plane from a second angle different than the first angle; defining coordinates of matching points in the reference frame and the destination frame; calculating, using the first and second angles, first and second respective rotation transformations to a simulated plane parallel to the given plane; applying an affine transformation between the reference frame coordinate on the simulated plane and the destination frame coordinate on the simulated plane; and applying a projective transformation on the simulated plane destination frame coordinate to calculate the destination frame coordinate.

Method of plane tracking

A method and apparatus for measuring a distance to an object, be a device () having at least two cameras (), is described. One or more first images including the object are acquired by a first camera of the device and one or more first reference images are acquired by a second camera of the device, while the device is in a first position. One or more second images including the object and one or more second reference images are acquired by cameras of the device, while the device is in a second position, different from the first position. Based on the first and second reference images, information on the displacement of at least one camera of the device between the first and second position are determined. The distance from the device to the object is calculated based on the first and second images including e object and the determined information on the displacement of the at least one camera.

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Yassur, Israel

Ozi Egri