US 11,868,394 B2
Analyzing content of digital images
Huguens Jean, Woodstock, MD (US); Yoriyasu Yano, Oakland, CA (US); Hui Peng Hu, Berkeley, CA (US); and Kuang Chen, Oakland, CA (US)
Assigned to DST Technologies, Inc., Kansas City, MO (US)
Filed by DST Technologies, Inc., Kansas City, MO (US)
Filed on Oct. 20, 2021, as Appl. No. 17/506,006.
Application 15/483,291 is a division of application No. 14/713,863, filed on May 15, 2015, granted, now 9,652,688, issued on May 16, 2017.
Application 17/506,006 is a continuation of application No. 16/530,778, filed on Aug. 2, 2019, granted, now 11,182,640.
Application 16/530,778 is a continuation of application No. 15/483,291, filed on Apr. 10, 2017, granted, now 10,373,012, issued on Aug. 6, 2019.
Claims priority of provisional application 62/085,237, filed on Nov. 26, 2014.
Prior Publication US 2022/0044055 A1, Feb. 10, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/80 (2022.01); G06F 16/583 (2019.01); G06V 10/46 (2022.01); G06V 30/418 (2022.01); G06V 10/772 (2022.01)
CPC G06F 16/5838 (2019.01) [G06F 16/5846 (2019.01); G06F 16/5854 (2019.01); G06V 10/462 (2022.01); G06V 10/464 (2022.01); G06V 10/772 (2022.01); G06V 10/817 (2022.01); G06V 30/418 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
assigning a first template prediction based on a multi-dimensional descriptor vector, the multi-dimensional descriptor vector being associated with a keypoint of a first plurality of keypoints identified based on a digital image of a physical object and by use of a computer vision algorithm;
assigning a second template predictions based on a histogram of the digital image of a physical object using a visual vocabulary, the visual vocabulary is based on a keypoint of a second plurality of keypoints identified based on the digital image by use of a second computer vision algorithm;
reconciling each respective template prediction wherein the template predictions are merged where each respective template prediction is in agreement and eliminating each fewest vote receiving prediction where each respective template prediction is not in agreement; and
in response to said reconciling, classifying the physical object based on a remaining template prediction.