The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 22, 2020

Filed:

Apr. 26, 2017
Applicant:

King Abdullah University of Science and Technology, Thuwal, SA;

Inventors:

Wolfgang Heidrich, Thuwal, SA;

Jinhui Xiong, Thuwal, SA;

Xiong Dun, Thuwal, SA;

Ramzi Idoughi, Thuwal, SA;

Sigurdur Tryggvi Thoroddsen, Thuwal, SA;

Andres A. Aguirre-Pablo, Thuwal, SA;

Abdulrahman B. Aljedaani, Thuwal, SA;

Erqiang Li, Thuwal, SA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01P 3/36 (2006.01); G01P 5/26 (2006.01); G01S 11/12 (2006.01); G01S 17/58 (2006.01); G01P 5/20 (2006.01); G01P 5/00 (2006.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G01P 5/26 (2013.01); G01P 5/001 (2013.01); G01P 5/20 (2013.01); G01S 11/12 (2013.01); G01S 17/58 (2013.01); G06T 11/00 (2013.01);
Abstract

Imaging of complex, non-stationary three dimensional (3D) flow velocities is achieved by encoding depth into color. A flow volumeis illuminated with a continuumof light planeswhereby each depth corresponds to a respective light planehaving a specific wavelength of light. A diffractive componentin the cameraoptics, which records the trajectories of illuminated particleswithin the flow volume, ensures that all light planesare in focus simultaneously. The setup permits a user to track 3D trajectories of particleswithin the flow volumeby combining two dimensional (2D) spatial and one dimensional (1D) color information. For reconstruction, an image formation model for recovering stationary 3D particle positions is provided. 3D velocity estimation is achieved with a variant of a 3D optical flow approach that accounts for both physical constraints as well as the color (rainbow) image formation model.


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