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NvidiaPatent applicationAI & softwareInterest 4/10

Nvidia patents method to find tightest fit for objects in images

Nvidia describes a technique for finding the smallest rectangle that can fit around an object in a 2D image. The system rotates the object's points to test different angles and picks the orientation that uses the least space. This tight fit helps machine learning models focus on the specific part of the image they need to analyze.

Why it mattersThis improves how computer vision systems identify and process objects by ensuring they look at the most relevant area of an image.

In the filing’s own words

In various examples, determining point bounding shapes for systems and applications is described herein. Systems and methods are disclosed that determine a bounding shape (e.g., a minimum-area bounding rectangle) for an object and/or a point set associated with the object. In some examples, to determine the bounding shape, the systems and methods may rotate points from the point set to include various orientations. The systems and methods may then determine a respective bounding shape for one or more (e.g., each) orientation of the points and use the bounding shapes to determine a final bounding shape for the points. For example, the bounding shape that is associated with the smallest area may be selected for the points. The bounding shape may then be rotated by an angle in order to determine a final bounding shape for the object.

What exactly they claim (claim 1)

1. A method comprising: determining a plurality of orientations of an object in a two-dimensional (2D) space depicted by an image by rotating a plurality of points corresponding to one or more surfaces of the object; computing, for at least two or more orientations of the plurality of orientations, a plurality of bounding shapes encapsulating the plurality of points for each of the at least two or more orientations; selecting a bounding shape of the plurality of bounding shapes having a least amount of area as a representative bounding shape to represent the plurality of points; and processing, using one or more machine learning models, a portion of the image that is associated with the bounding shape to determine information associated with the image.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
MINIMUM AREA BOUNDING SHAPES
Publication number
US20260289945A1
Application number
19689014
Filed
May 27, 2026
Published
Sep 24, 2026
Inventors
2
Claims
20

Classified under

G06V 10/255 Physics & computingG06V 10/242 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.