METHOD AND SYSTEM FOR FACILITATING EVALUATION OF VISUAL APPEAL OF TWO OR MORE OBJECTS

• US 20160042233A1
• Filed: 08/06/2015
• Published: 02/11/2016
• Est. Priority Date: 08/06/2014
• Status: Abandoned Application

• Current Assignee: Prosent Mobile Corporation
• Original Assignee: Prosent Mobile Corporation
• Inventors: Sen, Prosenjit, Papazickos, George C., Young, Shin-Chen
• Application Number:
  US14/819,650
• Publication Number:
  US 20160042233A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06F 16/5854 using shape and object relationship
• CPC Class Codes: G06T 19/00 Manipulating 3D models or images for computer graphics
• CPC Class Codes: G06T 19/006 Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06T 2210/61 Scene description
• CPC Class Codes: G06V 20/20 in augmented reality scenes

Abstract

Disclosed herein is a computer implemented method of facilitating evaluation of visual appeal of a combination of two or more objects. The method may include presenting a user-interface to enable a user to perform a first identification of one or more first objects and a second identification of one or more second objects. Further, the method may include retrieving one or more first images of the one or more first objects based on the first identification. Additionally, the method may include retrieving one or more second images of the one or more second objects based on the second identification. Furthermore, the method may include creating a combination image based on each of the one or more first images and the one or more second images. The combination image may represent a virtual combination of each of the one or more first objects and the one or more second objects.

Claims

1. A computer implemented method of facilitating evaluation of visual appeal of a combination of at least two objects, the method comprising:

a. presenting a user-interface to enable a user to perform a first identification of at least one first object associated with at least one object source of a plurality of object sources;

b. retrieving at least one first image of the at least one first object based on the first identification;

c. presenting a user-interface to enable the user to perform a second identification of at least one second object associated with at least one object source;

d. retrieving at least one second image of the at least one second object based on the second identification; and

e. creating a combination image based on each of the at least one first image and the at least one second image, wherein the combination image represents a virtual combination of each of the at least one first object and the at least one second object.

2. The computer implemented method of claim 1, wherein the plurality of object sources comprises at least one online store, wherein a first object of the at least one first object is available for purchase at the at least one online store.

3. The computer implemented method of claim 1, wherein the at least one first object is a merchandise, wherein the at least one second object is at least one of a person, a merchandise and a part of a building.

4. The computer implemented method of claim 1, wherein the at least one object source associated with the at least one second object is comprised in the plurality of object sources.

5. The computer implemented method of claim 1, wherein the at least one object source associated with the at least one second object is an image capturing device.

6. The computer implemented method of claim 1, wherein the at least one object source associated with the at least one second object is a storage device.

7. The computer implemented method of claim 1, wherein the virtual combination is based on a spatial relationship between the at least one first object and the at least one second object.

8. The computer implemented method of claim 7, wherein the spatial relationship is determined based on predetermined physical usage of a first object belonging to a category corresponding to the at least one first object in relation to a second object belonging to a category corresponding to the at least one second object.

9. The computer implemented method of claim 7 further comprising presenting a user-interface to enable the user to specify the spatial relationship.

10. The computer implemented method of claim 1, wherein retrieving the at least one first image comprises extracting the at least one first image from an image of the at least one first object.

11. The computer implemented method of claim 10 further comprising presenting a user-interface to enable the user to provide an extraction guidance, wherein the extracting of the at least one first image is based on the extraction guidance.

12. The computer implemented method of claim 1 further comprising transforming at least one of the at least one first image and the at least one second image.

13. The computer implemented method of claim 1 further comprising:

a. determining at least one first spatial dimension of the at least one first object;

b. determining at least one second spatial dimension of the at least one second object; and

c. transforming at least one of the at least one first image and the at least one second image wherein the transforming is based on each of the at least one first spatial dimension and the at least one second spatial dimension.

14. The computer implemented method of claim 13, wherein determining the at least one first spatial dimension comprises analysing the at least one first image, wherein determining the at least one second spatial dimension comprises analysing the at least one second image.

15. The computer implemented method of claim 13, wherein determining the at least one first spatial dimension is based on metadata associated with the at least one first image, wherein determining the at least one second spatial dimension is based on metadata associated with the at least one second image.

16. The computer implemented method of claim 1 further comprising:

a. determining a first point of view corresponding to the at least one first image, wherein the first point of view comprises spatial coordinates of a hypothetical image capturing device relative to spatial coordinates of the at least one first object, wherein the hypothetical image capturing device would capture the at least one first image of the at least one first object;

b. determining a second point of view corresponding to the at least one second image, wherein the second point of view comprises spatial coordinates of a hypothetical image capturing device relative to spatial coordinates of the at least one second object, wherein the hypothetical image capturing device would capture the at least one second image of the at least one second object; and

c. transforming at least one of the at least one first image and the at least one second image, wherein the transforming is based on each of the first point of view and the second point of view.

17. The computer implemented method of claim 19, wherein determining the first point of view comprises analysing the at least one first image, wherein determining the second point of view comprises analysing the at least one second image.

18. The computer implemented method of claim 19 further comprising providing a user-interface to enable the user to provide transformation guidance, wherein transforming at least one of the at least one first image and the at least one second image is based on the transformation guidance.

19. The computer implemented method of claim 1, wherein creating the combination image comprises overlaying the at least one first image onto the at least one second image.

20. The computer implemented method of claim 1 further comprising:

a. presenting a user-interface to enable the user to provide a style; and

b. modifying the at least one second image based on the style, wherein the at least one second object is a person.