US 12,423,940 B2
Targeted object detection in image processing applications
Shekhar Dwivedi, Santa Clara, CA (US); and Gigon Bae, Mountain View, CA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Jan. 27, 2023, as Appl. No. 18/102,610.
Application 18/102,610 is a continuation of application No. 17/248,069, filed on Jan. 7, 2021, granted, now 11,568,625.
Prior Publication US 2023/0169746 A1, Jun. 1, 2023
Int. Cl. G06K 9/00 (2022.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01)
CPC G06V 10/25 (2022.01) [G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01)] 20 Claims
OG exemplary drawing
 
12. A system comprising one or more processing devices to:
apply an input image to a first machine learning model (MLM) to identify:
a plurality of reference features within a map of pixel intensities of the input image,
a geometric arrangement of the plurality of reference features, and
one or more regions of interest (ROIs) within the input image, wherein the one or more ROIs are identified based at least on the geometric arrangement; and
provide a first ROI of the one or more ROIs as input to a second MLM to obtain an output of the second MLM, wherein the output of the second MLM indicates one or more objects within the first ROI.