Sarah Renee Stuckey

US Patent:

20190340462, Nov 7, 2019

Filed:

May 1, 2018

Appl. No.:

15/967928

Inventors:

- San Jose CA, US
Zhe Lin - Fremont CA, US
Sarah Stuckey - Petaluma CA, US
Jianming Zhang - Campbell CA, US
Betty Leong - Los Altos CA, US

International Classification:

G06K 9/46
G06T 3/40
G06K 9/62

Abstract:

The present disclosure relates to systems, method, and computer readable media that iteratively apply a neural network to a digital image at a reduced resolution to automatically identify pixels of salient objects portrayed within the digital image. For example, the disclosed systems can generate a reduced-resolution digital image from an input digital image and apply a neural network to identify a region corresponding to a salient object. The disclosed systems can then iteratively apply the neural network to additional reduced-resolution digital images (based on the identified region) to generate one or more reduced-resolution segmentation maps that roughly indicate pixels of the salient object. In addition, the systems described herein can perform post-processing based on the reduced-resolution segmentation map(s) and the input digital image to accurately determine pixels that correspond to the salient object.