Natural Video Matting using Camera Arrays
|Neel Joshi||Wojciech Matusik||Shai Avidan|
|University of California, San Diego||MERL||MERL|
|(a) We use a camera array to capture a collection of images of a scene. Here we show a single camera’s image. (b) We synthetically refocus the data and compute the variance image of the refocused images (darker means lower variance). (c) From the “variance image” we automatically compute a trimap. (d) We extrapolate the variances into the unknown region of the trimap and use these measurements to solve for the alpha matte. (e) We then compute the alpha multiplied foreground and composite it over a new background.|
We present an algorithm and a system for high-quality natural video matting using a camera array. The system uses high frequencies present in natural scenes to compute mattes by creating a synthetic aperture image that is focused on the foreground object, which reduces the variance of pixels reprojected from the foreground while increasing the variance of pixels reprojected from the background. We modify the standard matting equation to work directly with variance measurements and show how these statistics can be used to construct a trimap that is later upgraded to an alpha matte. The entire process is completely automatic, including an automatic method for focusing the synthetic aperture image on the foreground object and an automatic method to compute the trimap and the alpha matte. The proposed algorithm is very effcient and has a per-pixel running time that is linear in the number of cameras. Our current system runs at several frames per second, and we believe that it is the first system capable of computing high-quality alpha mattes at near real-time rates without the use of active illumination or special backgrounds.
Neel Joshi, Wojciech Matusik, and Shai Avidan.
Natural Video Matting using Camera Arrays.
ACM Transactions on Graphics. 25(3) July 2006.
Addendum: Reduction from our method to Triangulation Matting
SIGGRAPH 2006 Talk
Supplementary Videos (all Divx)
Coffee: real-time screen capture
Hair: real-time screen capture
Dynamic Backgrounds: real-time screen capture