Invention Grant
- Patent Title: Fixation generation for machine learning
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Application No.: US17371866Application Date: 2021-07-09
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Publication No.: US11847917B2Publication Date: 2023-12-19
- Inventor: Madeline Jane Schrier , Vidya Nariyambut Murali
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: FORD GLOBAL TECHNOLOGIES, LLC
- Current Assignee: FORD GLOBAL TECHNOLOGIES, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Stevens Law Group
- Agent David R. Stevens
- Main IPC: G08G1/16
- IPC: G08G1/16 ; G06T7/70 ; G06V10/44 ; G06V20/56 ; G06T5/00 ; G05D1/02

Abstract:
The disclosure extends to methods, systems, and apparatuses for automated fixation generation and more particularly relates to generation of synthetic saliency maps. A method for generating saliency information includes receiving a first image and an indication of one or more sub-regions within the first image corresponding to one or more objects of interest. The method includes generating and storing a label image by creating an intermediate image having one or more random points. The random points have a first color in regions corresponding to the sub-regions and a remainder of the intermediate image having a second color. Generating and storing the label image further includes applying a Gaussian blur to the intermediate image.
Public/Granted literature
- US20210334610A1 Fixation Generation For Machine Learning Public/Granted day:2021-10-28
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