Paper Info
Title
Normalized Matting of Interest Region.
Abstract
In this paper, we present an improved method of current closed-form solution for digital image matting. This method, which we call 'normalized matting of interest region', adopt the normalized cut technique where the objective function is normalized with the total degree of color similarities of foreground region. Unlike the existing solution, our method measures both the total dissimilarity between the foreground and background regions as well as the total similarity within foreground regions, which leads to better separation results, especially in case of extracting a specific region, rather than the closed-form solution. In addition, we employ a quadratic programming approach to solve the objective function to obtain a globally near-optimal matting result. Our method is empirically verified through several sample images.
Year
DOI
Venue
2013
10.1007/978-3-642-41939-3_43
ADVANCES IN VISUAL COMPUTING, PT II
Field
DocType
Volume
Computer vision,Normalization (statistics),Pattern recognition,Computer science,Digital image,Artificial intelligence,Quadratic programming
Conference
8034
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Jaehwan Kim116626.08
Il-Kwon Jeong2164.65