SYSTEM AND METHOD FOR THREE-DIMENSIONAL OBJECT RECONSTRUCTION FROM TWO-DIMENSIONAL IMAGES

• US 20100182406A1
• Filed: 07/12/2007
• Published: 07/22/2010
• Est. Priority Date: 07/12/2007
• Status: Abandoned Application

• Current Assignee: Thomson Licensing LLC (The Woodbridge Co. Ltd.)
• Original Assignee: Thomson Licensing LLC (The Woodbridge Co. Ltd.)
• Inventors: Benitez, Ana B.
• Application Number:
  US12/668,718
• Publication Number:
  US 20100182406A1
• Time in Patent Office: Days
• US Class Current: 348/46
• CPC Class Codes: G06T 7/55 from multiple images

Abstract

A system and method for three-dimensional acquisition and modeling of a scene using two-dimensional images are provided. The present disclosure provides a system and method for selecting and combining the three-dimensional acquisition techniques that best fit the capture environment and conditions under consideration, and hence produce more accurate three-dimensional models. The system and method provide for acquiring at least two two-dimensional images of a scene, applying a first depth acquisition function to the at least two two-dimensional images, applying a second depth acquisition function to the at least two two-dimensional images, combining an output of the first depth acquisition function with an output of the second depth acquisition function, and generating a disparity or depth map from the combined output. The system and method also provide for reconstructing a three-dimensional model of the scene from the generated disparity or depth map.

Claims

1. A three-dimensional acquisition method comprising:

acquiring at least two two-dimensional images of a scene;

applying a first depth acquisition function to the at least two two-dimensional images;

applying a second depth acquisition function to the at least two two-dimensional images;

combining an output of the first depth acquisition function with an output of the second depth acquisition function; and

generating a disparity map from the combined output of the first and second depth acquisition functions.

2. The method of claim 1, further comprising generating a depth map from the disparity map.

3. The method of claim 1, wherein the combining step includes registering the output of the first depth acquisition function to the output of the second depth acquisition function.

4. The method of claim 3, wherein the registering step includes adjusting the depth scales of the output of the first depth acquisition function and the output of the second depth acquisition function.

5. The method of claim 1, wherein the combining step includes averaging the output of the first depth acquisition function with the output of the second depth acquisition function.

6. The method of claim 1, furthering comprising:

applying a first weighted value to the output of the first depth acquisition function and a second weighted value to the output of the second depth acquisition function.

7. The method of claim 6, wherein the at least two two-dimensional images include a left eye view and a right eye view of a stereoscopic pair and the first weighted value is determined by an intensity of a pixel in the left eye image of a corresponding pixel pair between the left eye and right eye images.

8. The method of claim 1, further comprising reconstructing a three-dimensional model of the scene from the generated disparity map.

9. The method of claim 1, further comprising aligning the at least two two-dimensional images.

10. The method of claim 9, wherein the aligning step further includes matching a feature between the at least two two-dimensional images.

11. The method of claim 1, further comprising:

applying at least a third depth acquisition function to the at least two two-dimensional images;

applying at least a fourth depth acquisition function to the at least two two-dimensional images;

combining an output of the third depth acquisition function with an output of the fourth depth acquisition function;

generating a second disparity map from the combined output of the third and fourth depth acquisition functions; and

combining the generated disparity map from the combined output of the first and second depth acquisition functions with the second disparity map from the combined output of the third and fourth depth acquisition functions.

12. A system for three-dimensional information acquisition from two-dimensional images, the system comprising:

means for acquiring at least two two-dimensional images of a scene; and

a three-dimensional acquisition module configured for applying a first depth acquisition function to the at least two two-dimensional images, applying a second depth acquisition function to the at least two two-dimensional images and combining an output of the first depth acquisition function with an output of the second depth acquisition function.

13. The system of claim 12, further comprising a depth map generator configured for generating a depth map from the combined output of the first and second depth acquisition functions.

14. The system of claim 12, wherein the three-dimensional acquisition module is further configured for generating a disparity map from the combined output of first and second depth acquisition functions.

15. The system of claim 12, wherein the three-dimensional acquisition module is further configured for registering the output of the first depth acquisition function to the output of the second depth acquisition function.

16. The system of claim 15, further comprising a depth adjuster configured for adjusting the depth scales of the output of the first depth acquisition function and the output of the second depth acquisition function.

17. The system of claim 12, wherein the three-dimensional acquisition module is further configured for averaging the output of the first depth acquisition function with the output of the second depth acquisition function.

18. The system of claim 12, wherein the three-dimensional acquisition module is further configured for applying a first weighted value to the output of the first depth acquisition function and a second weighted value to the output of the second depth acquisition function.

19. The system of claim 18, wherein the at least two two-dimensional images include a left eye view and a right eye view of a stereoscopic pair and the first weighted value is determined by an intensity of a pixel in the left eye image of a corresponding pixel pair between the left eye and right eye images.

20. The system of claim 14, further comprising a three-dimensional reconstruction module configured for reconstructing a three-dimensional model of the scene from the generated depth map.

21. The system of claim 12, wherein the three-dimensional acquisition module is further configured for aligning the at least two two-dimensional images.

22. The system of claim 21, further comprising a feature point detector configured for matching a feature between the at least two two-dimensional images.

23. The system of claim 12, wherein the three-dimensional acquisition module is further configured for applying at least a third depth acquisition function to the at least two two-dimensional images, applying at least a fourth depth acquisition function to the at least two two-dimensional images;

combining an output of the third depth acquisition function with an output of the fourth depth acquisition function and combining the combined output of the first and second depth acquisition functions with the combined output of the third and fourth depth acquisition functions.

24. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform method steps for acquiring three-dimensional information from two-dimensional images, the method comprising the steps of:

acquiring at least two two-dimensional images of a scene;

applying a first depth acquisition function to the at least two two-dimensional images;

applying a second depth acquisition function to the at least two two-dimensional images;

combining an output of the first depth acquisition function with an output of the second depth acquisition function; and

generating a disparity map from the combined output of the first and second depth acquisition functions.