The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 25, 2025

Filed:

Nov. 17, 2020
Applicant:

Immervision, Inc., Montreal, CA;

Inventors:

Patrice Roulet, Montreal, CA;

Pierre Konen, Saint-Bruno, CA;

Pascale Nini, Orford, CA;

Simon Thibault, Quebec City, CA;

Jocelyn Parent, Montreal, CA;

Viacheslav Natashyn, Chateauguay, CA;

Julie Buquet, Montreal, CA;

Assignee:

IMMERVISION, INC., Montreal, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/80 (2024.01); G06N 3/084 (2023.01); G06N 3/086 (2023.01); G06T 3/00 (2024.01);
U.S. Cl.
CPC ...
G06T 5/80 (2024.01); G06N 3/084 (2013.01); G06N 3/086 (2013.01); G06T 3/00 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A method for training and using a convolutional neural network with images having on-purpose distortion is disclosed. By distorting on-purpose the image to create zone of interest with higher number of pixels, the resulting output from the neural network is improved. The distorted images are created using an imager device either comprising an optical system specifically designed to output distorted images or comprising software or hardware image distortion manipulation algorithm to create the distorted images from normal images. Also described is a method for training the neural network using a distorted image generator from various existing datasets.


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