US 10,748,347 B1Granted

Local augmented reality persistent sticker objects

AssigneeSnap Inc.

InventorsJia Li, Linjie Luo, Rahul Bhupendra Sheth, Ning Xu, Jianchao Yang

Life of this patent

Estimating the term…

Loading patent…

Abstract

Systems and methods for local augmented reality (AR) tracking of an AR object are disclosed. In one example embodiment a device captures a series of video image frames. A user input is received at the device associating a first portion of a first image of the video image frames with an AR sticker object and a target. A first target template is generated to track the target across frames of the video image frames. In some embodiments, global tracking based on a determination that the target is outside a boundary area is used. The global tracking comprises using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area. When the global tracking determines that the target is within the boundary area, local tracking is resumed along with presentation of the AR sticker object on an output display of the device.

Claims20

Dependent claims

A method for local augmented reality (AR) tracking, the method comprising:

capturing, using an image sensor and one or more processors of a device, a first plurality of images of a scene;
displaying the first plurality of images on a display of the device;
receiving, at an input component of the device, a first user selection of an AR sticker object;
receiving, at the input component of the device, a second user selection placing the AR sticker object relative to a first image of the first plurality of images as displayed on the display of the device;
processing, using the one or more processors, one or more images of the first plurality of images to generate a local AR model of the scene;
and
adding the AR sticker object to the local AR model of the scene for local tracking of the AR sticker object and presentation of the AR sticker object with AR images on the display of the device;
wherein processing the one or more images of the first plurality of images to generate the local AR model of the scene comprises:
identifying, based on the placement of the AR sticker object, a target within the first image of the first plurality of images;
tracking movement of the target within subsequent images captured by the image sensor;
processing a second image of the subsequent images to determine that the target is outside of a boundary area;
and
based on the determination that the target is outside of the boundary area, for a third plurality of images captured by the image sensor after the determination that the target is outside the boundary area, for each image of the third plurality of images, sampling a set of global image points and determining an associated movement;
determining, for a final image of the third plurality of images based on the associated movement for the final image and the sampling of the set of global image points for the final image of the third plurality of images, that the target is within the boundary;
and
based on the determination that the target is within the boundary, tracking the target within a fourth plurality of images that follow the third plurality of images.

13 more elements

A device comprising:

a display;
an input component coupled to the display;
a memory coupled to the display and the input component;
an image sensor;
and
one or more processors coupled to the display, the image sensor, the input component, and the memory, the one or more processors configured to process video image frames captured by the image sensor and initiate output of local AR images using local AR tracking of an AR sticker object by:
processing a user input associating a first portion of a first image of the video image frames with the AR sticker object and a target;
generating, based on the user input and the first portion of the first image, a first target template associated with the target;
tracking the target across frames of the video image frames following the First image by calculating changes in the first portion of the first image using the first target template;
initiating a global tracking based on a determination that the target is outside a boundary area the global tracking comprising using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area;
and
resuming tracking the target when the global tracking determines that the target is within the boundary area, and displaying the AR sticker object on the display based on the tracking of the target;
wherein tracking the target across frames of the video image frames comprises identifying, based on the placement of the AR sticker object, the target within the first image and tracking movement of the target within subsequent images captured by the image sensor;
wherein initiating the global tracking comprises processing a second image of the subsequent images to determine that the target is outside of a boundary area;
and
wherein the resuming tracking of the target is initiated based on, for images captured during the global tracking, sampling a set of global image points and determining an associated movement;
determining, for a final image the images captured during the global tracking and the sampling the set of global image points, that the target is within the boundary;
and
based on the determination that the target is within the boundary, tracking the target within a subsequent plurality of images that follow the images captured during the global tracking.

16 more elements

A non-transitory computer readable medium comprising instructions that, when performed by one or more processors of a device, cause the device to perform a method comprising:

processing a user input associating a first portion of a first image of video image frames captured by an image sensor with an AR sticker object and a target;
generating, based on the user input and the first portion of the first image, a first target template associated with the target;
and
tracking the target across frames of the video image frames following the first image by calculating changes in the first portion of the first image using the first target template;
initiating a global tracking based on a determination that the target is outside a boundary area the global tracking comprising using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area;
sampling, during the global tracking, a set of global image points for images captured during the global tracking;
determining, for a final image of the images captured during the global tracking using the set of global image points, that the target is within the boundary area resuming tracking the target following the determining that the target is within the boundary area.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/045,431Filed 25 Jul 2018 · continuation
Priority: 29 Jan 2016
Granted: 18 Aug 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06T 19/20
Manipulating three-dimensional [3D] models or images for computer graphics: editing of three-dimensional [3D] images, e.g. changing shapes or…
G06T 7/248
Using feature-based methods, e.g. the tracking of corners or segments: involving reference images or patches
G06T 19/006
Manipulating three-dimensional [3D] models or images for computer graphics: mixed reality
H04L 51/10
Characterised by the inclusion of specific contents: multimedia information