Motion regularization for matting motion blurred objects

Abstract-- This paper addresses the problem of matting motion blurred objects from a single image. Existing single-image matting methods are designed to extract static objects that have fractional pixel occupancy. This arises because the physical scene object has a finer resolution than the discrete image pixel and therefore only occupies a fraction of the pixel. For a motion blurred object, however, fractional pixel occupancy is attributed to the object's motion over the exposure period. While conventional matting techniques can be used to matte motion blurred objects, they are not formulated in a manner that considers the object's motion and tend to work only when the object is on a homogeneous background. We show how to obtain better alpha mattes by introducing a regularization term in the matting formulation to account for the object's motion. In addition, we outline a method for estimating local object motion based on local gradient statistics from the original imag...

• Type: Conference
• Year: 2010
• Where: SIGGRAPH
• Authors: Hai Ting Lin, Yu-Wing Tai, Michael S. Brown
• Keywords: Computer Graphics, Fractional Pixel Occupancy, Matting, SIGGRAPH 2010, Single-image Matting Methods