Deviation Magnification: Revealing Departures from Ideal Geometries

Patent №

US 10,242,427

Granted

2019-03-26

Filed 2016

Owner

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15223438

Geometries of the structures and objects deviate from their idealized models, while not always visible to the naked eye. Embodiments of the present invention reveal and visualize such subtle geometric deviations, which can contain useful, surprising information. In an embodiment of the present invention, a method can include fitting a model of a geometry to an input image, matting a region of the input image according to the model based on a sampling function, generating a deviation function based on the matted region, extrapolating the deviation function to an image wide warping field, and generating an output image by warping the input image according to the warping. In an embodiment of the present invention, Deviation Magnification inputs takes a still image or frame, fits parametric models to objects of interest, and generates an output image exaggerating departures from ideal geometries.

VisionG06T 3/18G06T 11/00G06T 11/001G06T 11/10

AI classification

Vision1.00
Planning0.02
Evolutionary computation0.01
AI hardware0.00
Natural language0.00
Knowledge representation0.00
Machine learning0.00
Speech0.00

Ownership

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

assignment · 475920479

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