Fixation Generation For Machine Learning
AssigneeFord Global Technologies, LLC
InventorsMadeline Jane Schrier, Vidya Nariyambut Murali
Life of this patent
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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.
Claims20
A method comprising:
- identifying a ground truth bounding box corresponding to an object of interest in a first image;
- generating an intermediate image comprising random points within a region corresponding to the ground truth bounding box of the first image;
- generating a blurred intermediate image by applying a blur to each of the random points in the intermediate image;
- and
- storing the blurred intermediate image as a label image for the first image.
A processor that is programmable to execute instructions stored in non-transitory computer readable storage media, the instructions comprising identifying a ground truth bounding box corresponding to an object of interest in a first image;
- generating an intermediate image comprising random points within a region corresponding to the ground truth bounding box of the first image;
- generating a blurred intermediate image by applying a blur to each of the random points in the intermediate image;
- and
- storing the blurred intermediate image as a label image for the first image.
Non-transitory computer readable storage media storing instructions to be executed by one or more processors, the instructions comprising:
- identifying a ground truth bounding box corresponding to an object of interest in a first image;
- generating an intermediate image comprising random points within a region corresponding to the ground truth bounding box of the first image;
- generating a blurred intermediate image by applying a blur to each of the random points in the intermediate image;
- and
- storing the blurred intermediate image as a label image for the first image.
Dependencies are inferred from the claim text.