IP Library Granted Patent US 9,224,234
Granted Patent B2
US 9,224,234 · App. 13/768,363 · Granted Dec 29, 2015

System and method for generating product visualizations

Inventors: Manoj Nigam (Waxhaw, NC); Mark McCuistion (Charlotte, NC); Ron Gordon (Charlotte, NC); Marek Scholaster (Podbelova, CZ)
Assignee: MICRO*D, INC.
G06T15/04G06Q30/0621G06Q30/0643G06T15/503G06T19/00G06T2210/04
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Quick Facts
Patent No.
US 9,224,234
App. No.
13/768,363
Granted
Dec 29, 2015
Kind
B2
Abstract

This disclosure includes a method for electronically generating a single image for product visualization. The method comprises receiving a selection of a first variation of a first consumer product layer with a first depth attribute from a plurality of variations of the first consumer product layer, each variation comprising at least one surface. The method further includes receiving a selection of a second variation of a second consumer product layer with a second depth attribute from a plurality of variations of the second consumer product layer, each variation comprising at least one surface. The method also includes layering the first variation of the first consumer product layer in the single image based at least on the first depth attribute; and layering the second variation of the second consumer product layer in the single image based at least on the second depth attribute. Related systems and apparatuses are also disclosed.

Claims (45)

1. A method for electronically generating a single image comprising:

receiving a selection of a first variation of a first consumer product layer with a first depth attribute from a plurality of variations of the first consumer product layer, each variation comprising at least one surface;

receiving a selection of a second variation of a second consumer product layer with a second depth attribute from a plurality of variations of the second consumer product layer, each variation comprising at least one surface;

layering the first variation of the first consumer product layer in the single image based at least on the first depth attribute;

layering the second variation of the second consumer product layer in the single image based at least on the second depth attributes wherein each surface includes a texture map including a sync point, the sync point selected so that transitions between the at least one surface of the first consumer product layer and the at least one surface of the second consumer product layer in the single image accurately depict how a consumer product produced by the manufacturer appears; and

applying a photography negative of an image of light interaction with at least one of the surfaces to the at least one of the surfaces to amplify the light interaction with the at least one of the surfaces.

2. The method of claim 1 , further comprising:

receiving a selection of a texture from a plurality of textures, each texture including a reference point configured to correspond to the sync point;

mapping the texture to the at least one surface of the first variation, the texture mapped to the surfaces such that the reference point coincides with the sync points, the mapping based at least on the texture map for each surface of the first variation; and

mapping the texture to the at least one surface of the second variation, the texture mapped to the surfaces such that the reference point coincides with the sync points, the mapping based at least on the texture map for each surface of the second variation.

3. The method of claim 2 , further comprising utilizing an alternative sync point of at least one of the surfaces based on a type attribute of the selected texture to be mapped on the at least one of the surfaces.

4. The method of claim 1 , wherein the first consumer product layer and the second consumer product layer correspond to at least one of a sofa, loveseat, ottoman, chair, or sectional couch.

5. The method of claim 1 , wherein the first consumer product layer is derived from at least one photograph or digital photograph.

6. The method of claim 1 , wherein the single image is a photorealistic image.

7. A non-transitory computer-readable medium containing instructions, that when executed by a processor, are configured to:

receive a selection of a first variation of a first consumer product layer with a first depth attribute from a plurality of variations of the first consumer product layer, each variation comprising at least one surface;

receive a selection of a second variation of a second consumer product layer with a second depth attribute from a plurality of variations of the second consumer product layer, each variation comprising at least one surface;

layer the first variation of the first consumer product layer in the single image based at least on the first depth attribute;

layer the second variation of the second consumer product layer in the single image based at least on the second depth attribute; and

apply a photography negative of an image of light interaction with at least one of the surfaces to the at least one of the surfaces to amplify the light interaction with the at least one of the surfaces;

wherein each surface includes a texture map including a sync point, the sync point selected so that transitions between the at least one surface of the first consumer product layer and the at least one surface of the second consumer product layer in the single image accurately depict how a consumer product produced by the manufacturer appears.

8. The computer-readable medium of claim 7 , the instructions further configured to:

receive a selection of a texture from a plurality of textures, each texture including a reference point configured to correspond to the sync point;

map the texture to the at least one surface of the first variation, the texture mapped to the surfaces such that the reference point coincides with the sync points, the mapping based at least on the texture map for each surface of the first variation; and

map the texture to the at least one surface of the second variation, the texture mapped to the surfaces such that the reference point coincides with the sync points, the mapping based at least on the texture map for each surface of the second variation.

9. The computer-readable medium of claim 7 , wherein the first consumer product layer and the second consumer product layer correspond to at least one of a sofa, loveseat, ottoman, chair, or sectional couch.

10. The computer-readable medium of claim 8 , wherein the single image is a photorealistic image.

11. The computer-readable medium of claim 7 , wherein the first consumer product layer is derived from at least one photograph or digital photograph.

12. The computer-readable medium of claim 7 , the instructions further configured to utilize an alternative sync point of at least one of the surfaces based on a type attribute of the selected texture to be mapped on the at least one of the surfaces.

13. A system comprising:

one or more processors;

a non-transitory computer-readable medium containing instructions, that when executed by the one or more processors, are configured to:

receive a selection of a first variation of a first consumer product layer with a first depth attribute from a plurality of variations of the first consumer product layer, each variation comprising at least one surface;

receive a selection of a second variation of a second consumer product layer with a second depth attribute from a plurality of variations of the second consumer product layer, each variation comprising at least one surface;

layer the first variation of the first consumer product layer in the single image based at least on the first depth attribute;

layer the second variation of the second consumer product layer in the single image based at least on the second depth attribute; and

apply a photography negative of an image of light interaction with at least one of the surfaces to the at least one of the surfaces to amplify the light interaction with the at least one of the surfaces;

wherein each surface includes a texture map including a sync point, the sync point selected so that transitions between the at least one surface of the first consumer product layer and the at least one surface of the second consumer product layer in the single image accurately depict how a consumer product produced by the manufacturer appears.

14. The computer-readable medium of claim 13 , the instructions further configured to:

receive a selection of a texture from a plurality of textures, each texture including a reference point configured to correspond to the sync point;

map the texture to the at least one surface of the first variation, the texture mapped to the surfaces such that the reference point coincides with the sync points, the mapping based at least on the texture map for each surface of the first variation; and

map the texture to the at least one surface of the second variation, the texture mapped to the surfaces such that the reference point coincides with the sync points, the mapping based at least on the texture map for each surface of the second variation.

15. The computer-readable medium of claim 14 , the instructions further configured to utilize an alternative sync point of at least one of the surfaces based on a type attribute of the selected texture to be mapped on the at least one of the surfaces.

16. The computer-readable medium of claim 13 , wherein the first consumer product layer is derived from at least one photograph or digital photograph.

17. The computer-readable medium of claim 13 , wherein the single image is a photorealistic image.

Assignments (4)
ASSIGNEE ADDRESS CHANGE Recorded Jul 29, 2024
From: MICROD, LLC
To: MICROD, LLC
Reel/Frame 068306/0590 →
CHANGE OF NAME Recorded Jul 26, 2023
From: MICRO D, INC.
To: MICROD, LLC
Reel/Frame 064397/0017 →
PATENT SECURITY AGREEMENT Recorded Sep 3, 2021
From: MICROD, LLC
To: GOLUB CAPITAL LLC, AS COLLATERAL AGENT
Reel/Frame 057407/0640 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 21, 2013
From: NIGAM, MANOJ; MCCUISTION, MARK A.; GORDON, RONALD D.; SCHOLASTER, MAREK
To: MICRO*D, INC.
Reel/Frame 030060/0220 →
Continuity (1)
Related Publication 20140232715A1 · Aug 21, 2014