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US Patent 10943352 Object shape regression using wasserstein distance

Overview Structured Data Issues Contributors

Is a

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Patent attributes

Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Sricharan Kallur Palli Kumar0

Jin Sun0

Raja Bala0

Date of Patent

March 9, 2021

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Patent Application Number

162220620

Date Filed

December 17, 2018

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Patent Citations

US Patent 10679046 Machine learning systems and methods of estimating body shape from images

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US Patent 10497257 Parking lot surveillance with viewpoint invariant object recognition by synthesization and domain adaptation

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US Patent 10614207 Generating captcha images using variations of the same object

US Patent 10614557 Digital image completion using deep learning

Patent Citations Received

US Patent 11651205 Method for training a generative adversarial network (GAN), generative adversarial network, computer program, machine-readable memory medium, and device

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Patent Primary Examiner

Michelle M Entezari

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Patent abstract

One embodiment can provide a system for detecting outlines of objects in images. During operation, the system receives an image that includes at least one object, generates a random noise signal, and provides the received image and the random noise signal to a shape-regressor module, which applies a shape-regression model to predict a shape outline of an object within the received image.

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