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:
Feb. 05, 2019

Filed:

Aug. 10, 2016
Applicant:

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

Inventors:

Kristen L. Lurie, Palo Alto, CA (US);

Dimitar V. Zlatev, Palo Alto, CA (US);

Joseph Chihping Liao, Stanford, CA (US);

Audrey K. Bowden, Stanford, CA (US);

Roland Angst, Taipei, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); G06T 17/20 (2006.01); G06T 5/00 (2006.01); G06T 7/579 (2017.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06T 5/008 (2013.01); G06T 7/579 (2017.01); G06T 17/20 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/10101 (2013.01); G06T 2210/41 (2013.01); G06T 2210/56 (2013.01); G06T 2219/2012 (2013.01);
Abstract

Methods and systems for three-dimensional (3D) reconstruction of endoscopic data in accordance with embodiments of the invention are described. In one embodiment, a method for processing a plurality of images captured by an endoscope includes preprocessing a plurality of images captured by an endoscope and including at least a portion of an organ. In many embodiments of the invention, the preprocessing includes estimating variations in light intensity within scenes captured by the plurality of images, and generating a set of color-adjusted images based on those variations. The method according to some embodiments of the invention may include generating a 3D point cloud representing points on a surface of the organ based on the set of color-adjusted images, defining a mesh representing the surface of the organ based on the 3D point cloud, and generating a texture of the surface of the organ based on the set of color-adjusted images.


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