Scale independent tracking pattern

Patent metadata

Field	Value
Publication number	US-2016110594-A1
Application number	US-201514986274-A
Country	US
Kind code	A1
Filing date	Dec 31, 2015
Priority date	Jul 12, 2011
Publication date	Apr 21, 2016
Grant date	—

Abstract

In one aspect, a computer implemented method of motion capture, the method includes tracking the motion of a dynamic object bearing a pattern configured such that a first portion of the patterns is tracked at a first resolution and a second portion of the pattern is tracked at a second resolution. The method further includes causing data representing the motion to be stored to a computer readable medium.

First claim

What is claimed is:

1 . A computer implemented method of machine vision, the method comprising:
identifying a first portion of a scale independent pattern of geometric shapes at a first resolution; identifying a second portion of the scale independent pattern of geometric shapes at a second resolution, wherein the second portion of the scale independent pattern cannot be identified at the first resolution; causing data related to the identifying to be stored to a computer readable medium; and executing a course of action based on the identifying.

2 . The method of claim 1 wherein the method further comprises identifying the pattern at a plurality of resolutions between first resolution and the second resolution.

3 . The method of claim 1 wherein the scale independent pattern of geometric shapes comprises a fractal.

4 . The method of claim 1 wherein the first and second portions of the scale independent geometric pattern are part of a waypoint and the machine vision process is navigation waypoint tracking.

5 . The method of claim 4 wherein a plurality of waypoints are positioned in an environment, each having first and second portions of the scale independent geometric pattern located thereon, and wherein the method further includes enabling an autonomous robot to navigate within the environment based on identifying individual waypoints based on the first and second portions of the scale independent geometric pattern.

6 . The method of claim 4 wherein a plurality of waypoints are positioned in an environment, each having first and second portions of the scale independent geometric pattern located thereon, and wherein the method includes enabling an autonomous automobile to navigate within the environment based on identifying individual waypoints based on the first and second portions of the scale independent pattern.

7 . A system for enabling machine vision, the system comprising:
one or more vision sensors configured to scan and identify a scale independent pattern of geometric shapes; and a computer-readable storage device having a computer program stored thereon; one or more processing devices operable to execute the computer program, receive input from the one or more vision sensors, and perform operations comprising:
identifying a first portion of a scale independent pattern of geometric shapes at a first resolution;
identifying a second portion of the scale independent pattern of geometric shapes at a second resolution, wherein the second portion of the scale independent pattern cannot be identified at the first resolution;
causing data related to the identifying to be stored to a computer readable medium; and
executing a course of action based on the identifying.

8 . The system of claim 7 wherein the system further comprises identifying the pattern at a plurality of resolutions between first resolution and the second resolution.

9 . The system of claim 7 wherein the scale independent pattern of geometric shapes comprises a fractal.

10 . The system of claim 7 wherein the first and second portions of the scale independent geometric pattern are part of a waypoint and the machine vision process is navigation waypoint tracking.

11 . The system of claim 10 wherein a plurality of waypoints are positioned in an environment, each having first and second portions of the scale independent geometric pattern located thereon, and wherein the system further includes enabling an autonomous robot to navigate within the environment based on identifying individual waypoints based on the first and second portions of the scale independent geometric pattern.

12 . The system of claim 10 wherein a plurality of waypoints are positioned in an environment, each having first and second portions of the scale independent geometric pattern located thereon, and wherein the system includes enabling an autonomous automobile to navigate within the environment based on identifying individual waypoints based on the first and second portions of the scale independent pattern.

13 . A non-transitory computer-readable memory comprising instructions that, when executed by a processor, perform a method comprising:
identifying a first portion of a scale independent pattern of geometric shapes at a first resolution; identifying a second portion of the scale independent pattern of geometric shapes at a second resolution, wherein the second portion of the scale independent pattern cannot be identified at the first resolution; causing data related to the identifying to be stored to a computer readable medium; and executing a course of action based on the identifying.

14 . The non-transitory computer-readable memory of claim 13 wherein the method further comprises identifying the pattern at a plurality of resolutions between first resolution and the second resolution.

15 . The non-transitory computer-readable memory of claim 13 wherein the scale independent pattern of geometric shapes comprises a fractal.

16 . The non-transitory computer-readable memory of claim 13 wherein the first and second portions of the scale independent geometric pattern are part of a waypoint and the machine vision process is navigation waypoint tracking.

17 . The non-transitory computer-readable memory of claim 16 wherein a plurality of waypoints are positioned in an environment, each having first and second portions of the scale independent geometric pattern located thereon, and wherein the method further includes enabling an autonomous robot to navigate within the environment based on identifying individual waypoints based on the first and second portions of the scale independent geometric pattern.

18 . The non-transitory computer-readable memory of claim 16 wherein a plurality of waypoints are positioned in an environment, each having first and second portions of the scale independent geometric pattern located thereon, and wherein the method further includes enabling an autonomous automobile to navigate within the environment based on identifying individual waypoints based on the first and second portions of the scale independent pattern.

Assignees

• Lucasfilm Entertainment Co Ltd

Inventors

• Wooley Kevin
• Mallet Ronald

Classifications

• G06V40/23

  Recognition of whole body movements, e.g. for sport training · CPC title

• G06F3/011 Primary

  Arrangements for interaction with the human body, e.g. for user immersion in virtual reality (blind teaching G09B21/00) · CPC title

• H04N23/61

  based on recognised objects · CPC title

• H04N23/63

  by using electronic viewfinders · CPC title

• G06T2207/30241

  Trajectory · CPC title