IMAGE BASED TRACKING IN AUGMENTED REALITY SYSTEMS

• US 20170243371A1
• Filed: 05/10/2017
• Published: 08/24/2017
• Est. Priority Date: 10/30/2015
• Status: Active Grant

• Current Assignee: Snap, Inc.
• Original Assignee: Snap, Inc.
• Inventors: Jurgenson, Nathan, Luo, Linjie, Rodriguez, II, Jonathan M., Sheth, Rahul, Li, Jia, Lv, Xutao
• Granted Patent: US 9,836,890 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 3/012 Head tracking input arrangements
• CPC Class Codes: G06F 3/04815 Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
• CPC Class Codes: G06T 13/80 2D [Two Dimensional] animation, e.g. using sprites
• CPC Class Codes: G06T 19/006 Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06T 19/20 Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
• CPC Class Codes: G06T 2200/04 involving 3D image data
• CPC Class Codes: G06T 2207/30244 Camera pose
• CPC Class Codes: G06T 2219/2004 Aligning objects, relative positioning of parts
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/246 using feature-based methods, e.g. the tracking of corners or segments
• CPC Class Codes: G06T 7/73 using feature-based methods
• CPC Class Codes: G06V 20/10 Terrestrial scenes scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59
• CPC Class Codes: G06V 20/20 in augmented reality scenes
• CPC Class Codes: G06V 2201/07 Target detection

Abstract

Systems and methods for image based location estimation are described. In one example embodiment, a first positioning system is used to generate a first position estimate. A set of structure façade data describing one or more structure facades associated with the first position estimate is then accessed. A first image of an environment is captured, and a portion of the image is matched to part of the structure façade data. A second position is then estimated based on a comparison of the structure façade data with the portion of the image matched to the structure façade data.

Claims

1. A method for determining a device location comprising:

determining, using a first positioning system, a first position estimate for the device;

accessing, based on the first position estimate, building location information describing one or more location points for at least a first building associated with the first position estimate;

capturing, by an image sensor of the device, a first image of an environment;

identifying, using the building location information, a first surface in the first image of the environment, wherein the first surface matches the one or more location points of the building location information for the first building; and

calculating, based at least in part on a perspective associated with surface of the first image of the environment, a second position estimate of the device.

2. The method of claim 1, further comprising, prior to the accessing of the building location information:

capturing a plurality of model images of the environment;

capturing a model location for each of the plurality of model images of the environment; and

processing the plurality of model images and the model location for each of the plurality of model images to generate a database of building location points comprising the one or more location points for the building;

wherein the one or more location points as processed describe one or more faç

ade surface locations and a two-dimensional faç

ade pattern.

3. The method of claim 1, further comprising:

receiving, at the device, in response to the first position estimate, the building location information, wherein the one or more location points of the building location information comprises one or more faç

ade surface locations and a two-dimensional faç

ade pattern.

4. The method of claim 3, wherein identifying the first surface of the first image comprises:

calculating, from the first position estimate and the one or more faç

ade surface locations, an expected perspective for the two-dimensional faç

ade pattern;

processing the two-dimensional faç

ade pattern to generate a first perspective pattern;

processing the first image of the environment using the first perspective pattern to identify the first surface.

5. The method of claim 4, wherein calculating, based at least in part on a perspective of the first surface of the first image of the environment, the second position estimate of the device, comprises:

calculating an error value between the first perspective pattern and the first surface of the first image;

determining a relative location value associated with the error value; and

determining e second position estimate from the first estimate using the relative location value.

6. The method of claim 5, further comprising:

accessing a set of augmented reality image data associated with an augmented reality image item;

capturing, by the image sensor, a second image of the environment;

calculating a position for the augmented reality image item using the second position estimate;

generating an augmented reality image using the second image, the set of augmented reality image data, and the second position estimate; and

outputting the augmented reality image on a display of the device.

7. The method of claim 3, wherein identifying the first surface of the first image comprises:

calculating, from the first position estimate and the one r more faç

ade surface locations, an expected perspective for the two-dimensional faç

ade pattern;

processing the two-dimensional faç

ade pattern to generate a first perspective pattern;

determining that the first perspective pattern does not meet a threshold match level for the first image;

requesting a supplemental set of faç

ade data from a first server computer; and

receiving the supplemental set of faç

ade data from the first server computer;

wherein the identifying of the first surface based on the supplemental set of faç

ade data.

8. The method of claim 7 wherein requesting the supplemental set of faç

ade data from the first server computer comprises communicating the first image of the environment to the first server computer; and

wherein receiving the supplemental set of faç

ade data comprises receiving a supplemental position estimate from the first server computer based on the first image.

9. The method of claim 8, further comprising:

capturing a second image of the environment;

identifying a first surface of the second image; and

calculating a perspective difference between the first surface of the second image and the first surface of the first image; and

generating a third position estimate using the second position estimate and the perspective difference.

10. The method of claim 7 further comprising:

receiving, at the device, two-dimensional augmented reality data for a sticker object;

determining an augmented realty placement of the sticker object as positioned on a plane with the one or more faç

ade surface locations;

using the expected perspective for the two-dimensional faç

ade pattern as a sticker object perspective; and

generating an augmented reality image comprising the sticker object on the plane with the one or more faç

ade surface locations based on the expected perspective.

11. The embodiment of claim 10 wherein the two-dimensional augmented reality data represents an emoji object selected by a user input from a set of augmented reality system pictograms.

12. The method of claim 1, further comprising:

identifying, using the building location information, a second surface of the first image of the environment, wherein the second surface matches second location points of the building location information;

wherein the second position estimate is further calculating based at least in part on a second perspective of the second surface of the first image of the environment.

13. The method of claim 12, further comprising:

updating the building location information using the first image and the second image to adjust the one or more faç

ade surface locations and the two-dimensional faç

ade pattern.

14. The method of claim 13, further comprising:

communicating at least a portion of the first image and at least a portion of the second image to the first server computer with the second location estimate and the third location estimate.

15. A system comprising:

a first positioning module configured to determine a first position estimate;

an image based location system module configured to;

access, based on the first position estimate, building location information describing one or more location points associated with the first position estimate;

access a first image of an environment;

identify, using the building location information, a first surface of the first image of the environment, wherein the first surface matches the one or more location points of the building location information; and

calculate, based at least in part on the surface of the first image of the environment, a second position estimate of the device.

16. The system of claim 15, further comprising:

a first wearable device comprising an image sensor configured to capture the first image and a first wireless input/output (I/O) module; and

a first client device comprising the first positioning module, the image based location system module, and a second wireless I/O module, wherein the first client device accesses the first image via the first wireless I/O module of the first wearable device.

17. The system of claim 16 wherein the first arable device comprises a device selected from set of:

an augmented reality helmet, an augmented reality visor, glasses, and an augmented reality glasses attachment; and

wherein the second client device comprises a smartphone.

18. A non-transitory computer readable medium comprising instructions that, when performed by a device, cause the device to perform a method comprising:

determining a first position estimate using a first positioning system of the device;

accessing, based on the first position estimate, building location information describing one or more location points for at least a first building associated with the first position estimate;

accessing a first image of an environment;

identifying, using the building location information, a surface of the first image of the environment, wherein the first surface matches the one or more location points of the building location information; and

calculating, based at least in part on the surface of the first image of the environment, a second position estimate of the device.

19. The non-transitory computer readable medium of claim 19 wherein the one or more location points of the building location information comprises one or snore faç

ade surface locations and a two-dimensional faç

ade pattern; and

wherein identifying the surface of the first image comprises.

calculating, from the first position estimate and the one or more faç

ade surface locations, an expected perspective for the two-dimensional faç

ade pattern;

processing the two-dimensional faç

ade pattern to generate a first perspective pattern;

processing the first image of the environment using the first perspective pattern to identify the first surface of the first image.

20. The non-transitory computer readable medium of claim 19 wherein the instructions further cause the device to perform a method comprising:

receiving a set of augmented reality data;

determining position and perspective information for the augmented reality data based on the second position estimate;

generating an augmented reality image using the set of augmented reality data, the position and perspective information, and the second position estimate; and

outputting the augmented reality image to a display of the device.