IP Library Granted Patent US 11,715,236
Granted Patent B2
US 11,715,236 · App. 17/680,802 · Granted Aug 1, 2023

Method and system for re-projecting and combining sensor data for visualization

Inventors: Dae Hyun Lee (Etobicoke, CA); Tyler James Doyle (Toronto, CA)
Assignee: INTERAPTIX INC.
G06T7/80G06T7/97H04N17/002
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Quick Facts
Patent No.
US 11,715,236
App. No.
17/680,802
Granted
Aug 1, 2023
Kind
B2
Abstract

There is provided a system and method of re-projecting and combining sensor data of a scene from a plurality of sensors for visualization. The method including: receiving the sensor data from the plurality of sensors; re-projecting the sensor data from each of the sensors into a new viewpoint; localizing each of the re-projected sensor data; combining the localized re-projected sensor data into a combined image; and outputting the combined image. In a particular case, the receiving and re-projecting can be performed locally at each of the sensors.

Claims (15)

1. A non-transitory machine-readable medium storing instructions, which when executed cause a processor to:

receive sensor data representing a scene from a plurality of sensors, comprising red-green-blue-depth (RGB-D) channel values for each of a plurality of pixels;

re-project the sensor data from each of the sensors into a new viewpoint by:

calibrating each of the sensors to determine one or more calibration values for the respective sensor;

generating a point cloud for the respective sensor by applying the calibration values to the depth D channel values for each pixel; and

applying a matrix representative of the new viewpoint to the point cloud for each sensor;

localize each of the re-projected sensor data;

combine the localized re-projected sensor data into a combined image; and

output the combined image.

2. The non-transitory machine-readable medium of claim 1 , wherein calibrating each of the sensors comprises determining intrinsic parameters for each of the sensors, the intrinsic parameters comprising distortions and camera matrix.

3. The non-transitory machine-readable medium of claim 1 , wherein the localization comprises performing simultaneous localization and mapping (SLAM) to position and orient the re-projected sensor data relative to each other.

4. The non-transitory machine-readable medium of claim 3 , wherein simultaneous localization and mapping comprises performing point-to-plane iterative closest point.

5. The non-transitory machine-readable medium of claim 1 , wherein the instructions further configure the processor to add supporting elements to the combined image.

6. The non-transitory machine-readable medium of claim 5 , wherein the supporting elements comprise graphical elements associated with one or more objects located in the scene.

7. The non-transitory machine-readable medium of claim 1 , wherein the combined image comprises a top-down view.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 8, 2023
From: LEE, DAE HYUN; DOYLE, TYLER JAMES
To: INTERAPTIX INC.
Reel/Frame 064851/0163 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 28, 2022
From: LEE, DAE HYUN; DOYLE, TYLER JAMES
To: INTERAPTIX INC.
Reel/Frame 059121/0742 →
Continuity (3)
Continuation 16791203 · Feb 14, 2020
Provisional Application 62806324 · Feb 15, 2019
Related Publication 20220180564A1 · Jun 9, 2022