METHODS FOR CONVERTING TWO-DIMENSIONAL IMAGES INTO THREE-DIMENSIONAL IMAGES

• US 20150379720A1
• Filed: 01/31/2014
• Published: 12/31/2015
• Est. Priority Date: 01/31/2013
• Status: Abandoned Application

• Current Assignee: Threevolution, LLC
• Original Assignee: Threevolution, LLC
• Inventors: HERRAEZ, Antonio Bejar
• Application Number:
  US14/765,168
• Publication Number:
  US 20150379720A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/20092 Interactive image processing based on input by user
• CPC Class Codes: G06T 2207/20101 Interactive definition of point of interest, landmark or seed
• CPC Class Codes: G06T 2207/20221 Image fusion; Image merging
• CPC Class Codes: G06T 7/571 from focus
• CPC Class Codes: H04N 13/261 with monoscopic-to-stereoscopic image conversion

Abstract

A method for obtaining a depth map for conversion of 2-dimensional images to 3-dimensional images is provided. Input marks are overlayed on an image that segment the image into one or more zones. The method further provides assigning zone depth values for each of the zones and generating one or more cue related depth values that are weighting with each of the zone depth values to obtain an average depth value and final depth map of the image.

Claims

1. A method for obtaining a depth map, comprising:

receiving one or more image;

receiving one or more input marks overlayed on the one or more image that segment the one or more image into one or more zones;

assigning zone depth values for each of the zones;

generating cue related depth values utilizing the zone depth values and one or more cue related depth values;

weighting each of the zone depth values and cue related depth values to obtain an average depth value; and

generating a depth map of the image from the average depth values.

2. The method of claim 1, wherein the one or more cue related depth values are generated utilizing the assigned zone depth values for each of the zones.

3. The method of claim 1, wherein the one or more cue related depth values comprises a motion cue value.

4. The method of claim 1, wherein the one or more cue related depth values comprises a relative height cue value.

5. The method of claim 1, wherein the one or more cue related depth values comprises an aerial perspective cue value.

6. The method of claim 1, wherein the one or more cue related depth values comprises a depth from defocus cue value.

7. The method of claim 1, wherein the one or more cue related depth values are selected from the group consisting of a motion cue value, a relative height cue value, an aerial perspective cue value, a depth from defocus cue value, and combinations thereof.

8. The method of claim 1, wherein the one or more input marks segment the image into static or dynamic objects in the image.

9. The method of claim 1, wherein the one or more input marks segment the image into a zone containing one or more foreground objects.

10. The method of claim 1, wherein the one or more input marks segment the image into a zone containing one or more background objects.

11. A computer-readable storage medium having instructions stored thereon that cause a processor to perform a method of depth map generation, the instructions comprising steps for:

in response to receiving one or more input marks overlayed on one or more image that segment the image into one or more zones, assigning zone depth values for one or more of the zones;

generating one or more cue related depth values;

weighting each of the zone depth values and one or more cue related depth values to obtain an average depth value; and

generating a depth map of the one or more images from the average depth values.

12. The medium of claim 11, wherein the one or more cue related depth values are selected from the group consisting of a motion cue value, a relative height cue value, an aerial perspective cue value, a depth from defocus cue value, and combinations thereof.

13. The medium of claim 11, wherein the one or more input marks segment the image into static or dynamic objects in the image.

14. The medium of claim 11, wherein the one or more input marks segment the image into a zone containing one or more foreground objects.

15. The medium of claim 11, wherein the one or more input marks segment the image into a zone containing one or more background objects.