Artificially rendering images using interpolation of tracked control points

Patent metadata

Field	Value
Publication number	US-10719733-B2
Application number	US-201815936237-A
Country	US
Kind code	B2
Filing date	Mar 26, 2018
Priority date	Jul 15, 2015
Publication date	Jul 21, 2020
Grant date	Jul 21, 2020

Abstract

Various embodiments of the present invention relate generally to systems and processes for artificially rendering images using interpolation of tracked control points. According to particular embodiments, a set of control points is tracked between a first frame and a second frame, where the first frame includes a first image captured from a first location and the second frame includes a second image captured from a second location. An artificially rendered image corresponding to a third location is then generated by interpolating individual control points for the third location using the set of control points and interpolating pixel locations using the individual control points. The individual control points are used to transform image data.

First claim

What is claimed is:

1. A method comprising:
tracking a set of control points between a first frame and a second frame; and
generating an artificially rendered image as a third frame, wherein generating the artificially rendered image includes:
interpolating a transformation using at least one of homography, affine, similarity, translation, rotation, and scale, including interpolating individual control points for the third frame using IMU data and the set of control points, and interpolating pixel locations using the individual control points, wherein the individual control points are used to transform image data, wherein interpolating the transformation includes using depth information to reduce occurrence of artifacts resulting from mismatched pixels;
gathering weighted image information by transferring first image information from the first frame to the third frame based on the interpolated transformation and transferring second image information from the second frame to the third; and
combining the first image information and the second image information to form the artificially rendered image.

2. The method of claim 1 , wherein interpolating the pixel locations includes interpolation using barycentric coordinates based on three or more control points.

3. The method of claim 1 , wherein interpolating the pixel locations includes interpolation using splines.

4. The method of claim 1 , wherein interpolating the pixel locations includes interpolation using finite elements.

5. The method of claim 1 , wherein interpolating the pixel locations includes using motion of a nearest control point.

6. The method of claim 1 , wherein the set of control points are located within a first layer, the first layer associated with particular objects viewable in the first frame and second frame.

7. The method of claim 1 , wherein each pixel in the first image corresponds to a control point in the set of control points.

8. The method of claim 7 , wherein interpolating pixel locations using the individual control points includes using dense optical flow.

9. A non-transitory computer readable medium having instructions stored thereon, that when executed by a computer cause the computer to perform:
tracking a set of control points between a first frame and a second frame; and
generating an artificially rendered image as a third frame, wherein generating the artificially rendered image includes:
interpolating a transformation using at least one of homography, affine, similarity, translation, rotation, and scale, including interpolating individual control points for the third frame using IMU data and the set of control points, and interpolating pixel locations using the individual control points, wherein the individual control points are used to transform image data, wherein interpolating the transformation includes using depth information to reduce occurrence of artifacts resulting from mismatched pixels;
gathering weighted image information by transferring first image information from the first frame to the third frame based on the interpolated transformation and transferring second image information from the second frame to the third; and
combining the first image information and the second image information to form the artificially rendered image.

10. The computer readable medium of claim 9 , wherein interpolating the pixel locations includes interpolation using barycentric coordinates based on three or more control points, interpolation using splines, or interpolation using finite elements.

11. The computer readable medium of claim 9 , wherein the set of control points are located within a first layer, the first layer associated with particular objects viewable in the first frame and second frame.

12. A system comprising:
a processor; and
a memory, the memory storing instructions for:
tracking a set of control points between a first frame and a second frame; and
generating an artificially rendered image as a third frame, wherein generating the artificially rendered image includes:
interpolating a transformation using at least one of homography, affine, similarity, translation, rotation, and scale, including interpolating individual control points for the third frame using IMU data and the set of control points, and interpolating pixel locations using the individual control points, wherein the individual control points are used to transform image data, wherein interpolating the transformation includes using depth information to reduce occurrence of artifacts resulting from mismatched pixels;
gathering weighted image information by transferring first image information from the first frame to the third frame based on the interpolated transformation and transferring second image information from the second frame to the third; and
combining the first image information and the second image information to form the artificially rendered image.

13. The system of claim 12 , wherein interpolating the pixel locations includes interpolation using barycentric coordinates based on three or more control points.

14. The system of claim 12 , wherein interpolating the pixel locations includes interpolation using splines.

15. The system of claim 12 , wherein interpolating the pixel locations includes interpolation using finite elements.

16. The system of claim 12 , wherein interpolating the pixel locations includes using motion of a nearest control point.

17. The system of claim 12 , wherein each pixel in the first frame corresponds to a control point in the set of control points.

18. The system of claim 17 , wherein interpolating pixel locations using the individual control points includes using dense optical flow.

19. The system of claim 12 , wherein the set of control points are located within a first layer, the first layer associated with particular objects viewable in the first frame and second frame.

20. The system of claim 19 , wherein the first layer includes objects.

Assignees

• Fyusion Inc

Inventors

• Holzer Stefan Johannes Josef
• Miller Stephen David
• Saelzle Martin
• Rusu Radu Bogdan

Classifications

• G06T15/205 Primary

  Image-based rendering · CPC title

• G06F18/22

  Matching criteria, e.g. proximity measures · CPC title

• G06V20/10

  Terrestrial scenes (scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59) · CPC title

• H04N2013/0085

  Motion estimation from stereoscopic image signals · CPC title

• H04N13/111

  Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation · CPC title