IP Library Granted Patent US 10,706,565
Granted Patent B2
US 10,706,565 · App. 15/662,264 · Granted Jul 7, 2020

Method and apparatus for motion tracking of an object and acquisition of three-dimensional data over large areas

Inventors: Matthew W Bellis (Lexington, KY); Eli Ross Crane (Lexington, KY)
Assignee: Seikowave, Inc.
G06T7/292G06T7/20G06T7/33G06T7/37G06T7/55G05D1/0234G05D1/0251G06T2207/10021G06T2207/10028G06T2207/30204G06T2207/30241G06T2207/30252
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Quick Facts
Patent No.
US 10,706,565
App. No.
15/662,264
Granted
Jul 7, 2020
Kind
B2
Abstract

A multi-dimensional solution directed to employment of a low-resolution motion tracking technique to estimate a homogeneous transformation matrix that is further adapted to accurately characterize movement/motion between successive positions of an object through time. Low-resolution tracking is first used to estimate a homogeneous transformation matrix that describes the motion between successive positions of an object as that object moves over time. The 3-dimensional imaging data is then used to calculate a more accurate homogeneous transformation matrix, providing the accuracy to better characterize motion of the object over time. In the case where the ‘object’ being tracked is a 3-dimensional imaging system (herein, 3DIS), the resulting homogeneous transformation matrix is used to create 3-dimensional digital models of the scene that is in the field-of-view of the 3-dimensional imaging system (3DIS).

Claims (29)

1. A method for tracking motion of an object using a motion tracking system defining a global coordinate system, comprising:

(a) acquiring, with aid of a 3-D imaging system to which the object has been attached, a high-resolution three-dimensional image at a first position of successive positions of a scene under inspection and applying a first transformation matrix, generated by the motion tracking system, to locate the three-dimensional image at said first position into the global coordinate system, said 3-D imaging system and said motion tracking system in communication with a computerized controller;

(b) said first transformation matrix having been determined by combining a first transform from an object coordinate system to the global coordinate system and a transform from said 3-D imaging system to said object coordinate system;

(c) acquiring, with aid of said 3-D imaging system, a high-resolution three-dimensional image at a second position of the successive positions and applying a second transformation matrix, generated by the motion tracking system, to locate the three-dimensional image at said second position into the global coordinate system;

(d) said second transformation matrix having been determined by combining a second transform from an object coordinate system to the global coordinate system and said transform from said 3-D imaging system to said object coordinate system;

(e) establishing a cost function for addressing error comprising determining an alignment transformation matrix utilizing data from the high-resolution three-dimensional images acquired at the first and second position; and

(f) applying said alignment transformation matrix to adjust a detected position by the motion tracking system along a path of the object.

2. The method of claim 1 in which the motion tracking system utilizes an optical flow technique.

3. The method of claim 1 further comprising mounting said 3-D imaging system to which the object has been attached, to a mobile robotic vehicle.

4. The method of claim 1 in which the object which has been mounted to said 3-D imaging system and is a handheld unit; and further comprising projecting structured light to illuminate said scene under inspection.

5. The method of claim 1 in which at least one three-dimensional marker has been affixed to the object which has been mounted to said 3-D imaging system.

6. The method of claim 5 further comprising the motion tracking system obtains an estimate of motion by tracking said at least one three-dimensional marker using two-dimensional images acquired by a plurality of cameras.

7. The method of claim 1 further comprising adapting a mobile robotic vehicle to transport the 3-D imaging system to which the object has been attached.

8. The method of claim 7 further comprising: mounting said 3-D imaging system to said mobile robotic vehicle; providing wireless communication between said 3-D imaging system and said computerized controller; and providing additional capability for said mobile robotic vehicle to perform a function selected from the group consisting of welding, cleaning, cutting, and non-destructive testing.

9. The method of claim 7 further comprising providing proportional-integral-differential control tracking capability utilizing said adjusted detected position of the object for directing the motion of the mobile robotic vehicle along a pre-defined path.

10. A system for tracking motion of an object using a motion tracking system defining a global coordinate system, comprising:

(a) a 3-D imaging system to which the object has been attached, for acquiring a high-resolution three-dimensional image of a scene under inspection at a first and second position of successive positions;

(b) said 3-D imaging system and the motion tracking system in communication with a computerized controller;

(c) a first transformation matrix, generated by the motion tracking system, determined by combining a first transform from an object coordinate system to the global coordinate system and a transform from said 3-D imaging system to said object coordinate system;

(d) said first transformation matrix applied to locate the three-dimensional image acquired at said first position into the global coordinate system;

(e) a second transformation matrix, generated by the motion tracking system, determined by combining a second transform from an object coordinate system to the global coordinate system and a transform from said 3-D imaging system to said object coordinate system;

(f) said second transformation matrix applied to locate the three-dimensional image acquired at said second position into the global coordinate system;

(g) a cost function established for addressing error comprising an alignment transformation matrix utilizing data from the high-resolution three-dimensional images acquired at the first position and second position; and

(h) said computerized controller to apply said alignment transformation matrix to adjust a detected position by the motion tracking system along a path of the object.

11. The system of claim 10 wherein said 3-D imaging system to which the object has been mounted is a handheld unit; and whereby said 3-D imaging system projects structured light to illuminate said a scene under inspection.

12. The system of claim 10 in which at least one three-dimensional marker has been affixed to the object which has been mounted to said 3-D imaging system.

13. The system of claim 12 in which the motion tracking system comprises a plurality of cameras for tracking said at least one three-dimensional marker using two-dimensional images acquired by said plurality of cameras to obtain an estimate of motion.

14. The system of claim 10 further comprising a mobile robotic vehicle adapted to transport the 3-D imaging system to which the object has been attached.

15. The system of claim 14 further comprising: a wireless communication between said 3-D imaging system and said computerized controller; and a proportional-integral-differential controller to direct, utilizing said adjusted detected position of the object, the motion of said mobile robotic vehicle along a pre-defined path.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 3, 2020
From: SEIKOWAVE HEALTHCARE SOLUTIONS, INC.
To: SAVTEQ, INC.
Reel/Frame 054254/0070 →
MERGER Recorded Oct 20, 2020
From: SEIKOWAVE, INC.
To: SEIKOWAVE HEALTH SOLUTIONS, INC.
Reel/Frame 054112/0057 →
NUNC PRO TUNC ASSIGNMENT Recorded Jul 30, 2017
From: BELLIS, MATTHEW W; CRANE, ELI ROSS
To: SEIKOWAVE, INC.
Reel/Frame 043137/0075 →
Continuity (2)
Provisional Application 62367579 · Jul 27, 2016
Related Publication 20180165816A1 · Jun 14, 2018
Cited By (1)
US 12,373,999