NEURAL NETWORKS FOR CROPPING IMAGES BASED ON BODY KEY POINTS

Patent №

US 11,295,413

Granted

2022-04-05

Filed 2020

Owner

ADOBE INC.

Lab

AI components

2

vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16906990

Systems, methods and computer storage media for using body key points in received images and cropping rule representations to crop images are provided. Cropping configurations are received that specify characteristics of cropped images. Also obtained are images to crop. For a given image, a plurality of body key points is determined. A list of tuples is determined from the body key points and the cropping configurations. Each tuple includes a reference point, a reference length and an offset scale. A possible anchor level is calculated for each tuple. Each tuple sharing a common reference body key point is aggregated and a border representation is determined by calculating the minimum, maximum or average of all such possible anchor levels. The image is then cropped at the border representation. This process can be repeated for multiple border representations within a single image and/or for multiple images.

VisionKnowledge representationG06T 11/60G06T 3/4046G06V 40/103G06T 2207/20081G06T 2210/22

AI classification

Vision1.00
Knowledge representation0.62
AI hardware0.46
Evolutionary computation0.01
Planning0.00
Natural language0.00
Speech0.00
Machine learning0.00

Ownership

ADOBE INC.

assignment · 531080537

Assignors

ZHANG, JIANMING

On an employer assignment, the assignors are typically the inventors.

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