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:
Nov. 12, 2019

Filed:

Apr. 20, 2017
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Gaurush Hiranandani, Karnataka, IN;

Sai Varun Reddy Maram, Telangana, IN;

Kumar Ayush, Jharkhand, IN;

Chinnaobireddy Varsha, Telangana, IN;

Siddhant Jain, Karnataka, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/06 (2012.01); G06F 16/583 (2019.01); G06T 7/73 (2017.01); G06K 9/62 (2006.01); G06T 11/60 (2006.01); G06T 11/00 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 16/583 (2019.01); G06K 9/6202 (2013.01); G06K 9/6215 (2013.01); G06T 7/74 (2017.01); G06T 11/00 (2013.01); G06T 11/60 (2013.01); G06K 9/00671 (2013.01); G06T 2207/20221 (2013.01);
Abstract

Provided are methods and techniques for providing a product recommendation to a user using augmented reality. A product recommendation system determines a user viewpoint, the viewpoint including an augmented product positioned in a camera image of the user's surroundings. Based on the viewpoint, the product recommendation system determines the position of the augmented product in the viewpoint and the similarity between the augmented product and other candidate products that are similar to the augmented product. The product recommendation system then creates a set of recommendation images, each recommendation image including an image of the candidate product that is substituted for the augmented product in the viewpoint. The product recommendation system can then evaluate the recommendation images based on overall color compatibility. Based on the evaluation, for example, the product recommendation system selects a recommendation image that is provided to the user.


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