SYSTEM AND METHOD FOR HIGH-QUALITY REAL-TIME FOREGROUND/BACKGROUND SEPARATION IN TELE-CONFERENCING USING SELF-REGISTERED COLOR/INFRARED INPUT IMAGES AND CLOSED-FORM NATURAL IMAGE MATTING TECHNIQUES

• US 20100302376A1
• Filed: 03/19/2010
• Published: 12/02/2010
• Est. Priority Date: 05/27/2009
• Status: Abandoned Application

• Current Assignee: VR Technologies Inc.
• Original Assignee: VR Technologies Inc.
• Inventors: BOULANGER, PIERRE BENOIT, Zhang, Yilei
• Application Number:
  US12/727,654
• Publication Number:
  US 20100302376A1
• Time in Patent Office: Days
• US Class Current: 348/164
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/10048 Infrared image
• CPC Class Codes: G06T 2207/20036 Morphological image processing
• CPC Class Codes: G06T 2207/20156 Automatic seed setting
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06T 7/136 involving thresholding
• CPC Class Codes: G06T 7/174 involving the use of two or more images
• CPC Class Codes: G06T 7/187 involving region growing; involving region merging; involving connected component labelling
• CPC Class Codes: G06T 7/194 involving foreground-background segmentation
• CPC Class Codes: G06V 10/143 Sensing or illuminating at different wavelengths
• CPC Class Codes: G06V 10/147 Details of sensors, e.g. sensor lenses fingerprint or palmprint sensors G06V40/13; vascular sensors G06V40/145; eye sensors G06V40/19
• CPC Class Codes: G06V 10/26 Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
• CPC Class Codes: H04N 23/11 for generating image signals from visible and infrared light wavelengths

Abstract

An apparatus and method is provided for near real-time, bi-layer segmentation of foreground and background portions of an image using the color and infrared images of the image. The method includes illuminating an object with infrared and visible light to produce infrared and color images of the object. An infrared mask is produced from the infrared image to predict the foreground and background portions of the image. A trimap is produced from the color image to define the color image into three distinct regions. A closed-form natural image matting algorithm is applied to the images to determine the foreground and background portions of the image.

Claims

1. A system for the near real-time separation of foreground and background images of an object illuminated with visible light, comprising:

a) an infrared (“

IR”

) light source configured to illuminate the object with IR light, the object located in a foreground portion of an image, the image further comprising a background portion;

b) a color camera configured to produce a color video signal;

c) an IR camera configured to produce an infrared video signal;

d) a beam splitter operatively coupled to the color camera and to the IR camera whereby a first portion of light reflecting off of the object passes through the beam splitter to the color camera, and a second portion of light reflecting off of the object reflects off of the beam splitter to the IR camera;

e) an interference filter operatively disposed between the beam splitter and the IR camera, the interference filter configured to allow IR light to pass through to the IR camera; and

f) a video processor operatively coupled to the color camera and to the IR camera and configured to receive the color video signal and the IR video signal, the video processor further comprising video processing means for processing the color and IR video signals to separate the foreground portion of the image from the background portion of the image and to produce an output video signal that contains only the foreground portion of the image.

2. The system as set forth in claim 1, wherein the video processing means further comprises means for producing a trimap image of the object from the color video signal and the IR video signal.

3. The system as set forth in claim 2, wherein the video processing means further comprises means for producing an alpha matte from the color video signal and the trimap image.

4. The system as set forth in claim 3, wherein the video processing means further comprises means for applying the alpha matte to the color video signal to separate the foreground portion of the image from the background portion of the image.

5. The system as set forth in claim 3, wherein the means for producing the alpha matte further comprises means for carrying out an algorithm to produce the alpha matte.

6. The system as set forth in claim 5, wherein the algorithm comprises a closed-form natural image matting algorithm.

7. The system as set forth in claim 1, wherein the video processor comprises a video digitizer for digitizing the color and IR video signals, and a general purpose computer operatively connected to the video digitizer, the general purpose computer further comprising:

a) a central processing unit (“

CPU”

);

b) a graphics processing unit (“

GPU”

) operatively connected to the CPU; and

c) a memory operatively connected to the CPU and to the GPU, the memory comprising at least one program code segment comprising instructions for one or both of the CPU and the GPU to separate the foreground portion of the image from the background portion of the image and to produce an output video signal that contains only the foreground portion of the image.

8. The system as set forth in claim 7, wherein the at least program code segment comprises instructions for one or both of the CPU and the GPU to produce a trimap image of the object from the color video signal and the IR video signal using an Otsu thresholding technique.

9. The system as set forth in claim 7, wherein the at least program code segment comprises instructions for one or both of the CPU and the GPU to produce an alpha matte from the color video signal and the trimap image using a closed-form natural image matting algorithm.

10. The system as set forth in claim 2, wherein the video processing means further comprises means to produce and refine an accumulated background image of the background portion of the image.

11. The system as set forth in claim 10, wherein the means for producing the trimap image is operatively configured to produce the trimap image of the object from the color video signal, the IR video signal and the accumulated background image.

12. A method for the near real-time separation of foreground and background images of an object illuminated with visible light, the method comprising the steps of:

a) illuminating the object with infrared (“

IR”

) light;

b) producing a color video image of the object, the color video image further comprising a color foreground portion and a color background portion;

c) producing an IR video image of the object, the IR video image further comprising an IR foreground portion and an IR background portion;

d) producing a refined trimap from the color video image and the IR video image, the refined trimap defining a trimap image of the object further comprised of a foreground portion, a background portion and an unknown portion;

e) producing an alpha matte from the color video image and the refined trimap; and

f) separating the color foreground portion from the color background portion of the color video image by applying the alpha matte to the color video image.

13. The method as set forth in claim 12, wherein the step of producing the refined trimap further comprises the steps of:

a) applying an Otsu thresholding technique to the IR video signal to produce an initial IR mask;

b) performing morphological operations on the initial IR mask to produce an initial trimap image; and

c) combining the color video image with the initial trimap to produce the refined trimap.

14. The method as set forth in claim 12, wherein the step of producing the alpha matte further comprises the steps of:

a) down-sampling the color video image;

b) down-sampling the IR video image;

c) applying a closed-form natural image matting algorithm to the down-sampled color and IR video images to produce a Laplacian N×

N matrix of the color video image;

d) converting the Laplacian N×

N matrix to a sparse linear system;

e) solving the sparse linear system to produce a down-sampled foreground alpha matte; and

f) up-sampling the down-sampled foreground alpha matte to produce the alpha matte.

15. The method as set forth in claim 12, further comprising the step of refining the separated color background portion to produce an accumulated background image of the object.

16. The method as set forth in claim 15, wherein the refined trimap is produced from the color video image, the IR video image and the accumulated background image.

17. A system for the near real-time separation of foreground and background images of an object illuminated with visible light, comprising:

a) means for illuminating the object with infrared (“

IR”

) light;

b) means for producing a color video image of the object, the color video image further comprising a color foreground portion and a color background portion;

c) means for producing an IR video image of the object, the IR video image further comprising an IR foreground portion and an IR background portion;

d) means for producing a refined trimap from the color video image and the IR video image, the refined trimap defining a trimap image of the object further comprised of a foreground portion, a background portion and an unknown portion;

e) means for producing an alpha matte from the color video image and the refined trimap; and

f) means for separating the color foreground portion from the color background portion of the color video image by applying the alpha matte to the color video image.

18. The system as set forth in claim 17, further comprising:

a) means for down-sampling the color video image;

b) means for down-sampling the IR video image;

c) means for applying a closed-form natural image matting algorithm to the down-sampled color and IR video images to produce a Laplacian N×

N matrix of the color video image;

d) means for converting the Laplacian N×

N matrix to a sparse linear system;

e) means for solving the sparse linear system to produce a down-sampled foreground alpha matte; and

f) means for up-sampling the down-sampled foreground alpha matte to produce the alpha matte.

19. The system as set forth in claim 17, further comprising means for refining the separated color background portion to produce an accumulated background image of the object.

20. The system as set forth in claim 19, wherein the refined trimap is produced from the color video image, the IR video image and the accumulated background image.