US 10,853,929 B2Granted

Method and a system for providing feedback on improvising the selfies in an original image in real time

OwnerRekha Vasanthakumarinventor

Life of this patent

Estimating the term…

Loading patent…

Abstract

A method (200) for providing feedback regarding facial expressions in an original image is provided. The method (200) comprising the steps of receiving a 2-dimensional image of one or more users from an image capturing device (102), converting the 2-dimensional image to 3-dimensional image, identifying respective one or more faces of the one or more users from the 3-dimensional image, determining values of a set of plurality of parameters associated with a plurality of sections of each face of the one or more faces, comparing the determined values of the set of plurality of parameters with pre-determined optimum values of set of plurality of parameter pre-stored in a data repository (108) and providing feedback to the one or more users on the basis of the comparison. Further, a system (700) for providing feedback regarding facial expressions in an original image is provided.

Claims8

Dependent claims

A computer system (106) for providing feedback regarding facial expressions in an original image, the computer system (106) comprising:

a memory unit (1062) configured to store machine-readable instructions;
and
a processor (1064) operably connected with the memory unit (1062), the processor (1064) obtaining the machine-readable instructions from the memory unit (1062), and being configured by the machine-readable instructions to:
receive 2-dimensional images of one or more users from an image capturing device (102);
identify respective one or more faces of the one or more users from the 2-dimensional images;
determine a face area and values of a plurality of parameters associated with a plurality of sections of each face of the one or more faces;
calculate one or more proportion values of each of the values of the plurality of parameters associated with the plurality of sections against the face area;
compare the one or more proportion values with one or more pre-determined optimum values of the plurality of parameters pre-stored in a data repository (108) to outcome a comparison result;
rate the captured images on a basis of the comparison result;
convert the 2-dimensional images to one or more 3-dimensional images;
determine one or more combinations of yaw-pitch-roll for a plurality of different angles of faces;
estimate one or more values of a second set of plurality of parameters associated with a plurality of sections of each face of the one or more combinations of the yaw-pitch-roll;
calculate a second set of proportion values of the one or more values of the second set of plurality of parameters associated with the plurality of sections against the face area;
compare the second set of proportion values with a second set of pre-determined optimum values pre-stored in the data repository (108) to outcome a second comparison result;
and
provide feedback on pose, facial expressions and face angle to the one or more users on a basis of the second comparison result.

13 more elements

A system (700) for providing feedback regarding facial expressions in an original image comprising:

an image capturing device (102);
an interface module (704);
and
a control module (702);
wherein the control module (702) is configured to
receive 2-dimensional images of one or more users from an image capturing device (102);
identify respective one or more faces of the one or more users from the 2-dimensional images;
determine a face area and values of a plurality of parameters associated with a plurality of sections of each face of the one or more faces;
calculate one or more proportion values of each of the values of the plurality of parameters associated with the plurality of sections against the face area;
compare the one or more proportion values with one or more pre-determined optimum values of the plurality of parameters pre-stored in a data repository (108) to outcome a comparison result, wherein the pre-determined optimum values are determined by using analysis of data and neural network based deep learning trained data set;
rate the captured images on a basis of the comparison result;
convert the 2-dimensional images to one or more 3-dimensional images;
determine one or more combinations of yaw-pitch-roll for a plurality of different angles of faces;
estimate and one or more values of a second set of plurality of parameters associated with a plurality of sections of each face of the one or more combinations of the yaw-pitch-roll;
calculate a second set of proportion values of the one or more values of the second set of plurality of parameters associated with the plurality of sections against the face area;
compare the second set of proportion values with a second set of pre-determined optimum values pre-stored in the data repository (108) to outcome a second comparison result;
wherein the interface module (704) is configured to
provide feedback on pose, facial expressions and face angle to the one or more users on a basis of the second comparison result.

15 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/166,938Filed 22 Oct 2018
Priority: IN 20182102841327 Jul 2018
Published: US 2019/0057497 A121 Feb 2019
Granted: 1 Dec 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

G06T 7/0002
Image analysis: inspection of images, e.g. flaw detection
G06V 20/647
Three-dimensional [3D] objects: by matching two-dimensional images to three-dimensional objects
G06V 40/169
Feature extraction; Face representation: holistic features and representations, i.e. based on the facial image taken as a whole
G06V 40/171
Feature extraction; Face representation: local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships