Perfect Snapping

Zhu, Qingsong, Shao, Ling, Li, Qi and Xie, Yaoqin (2013) Perfect Snapping. In: MMM 2013 - 19th International Conference on Multimedia Modelling, 7th - 9th January 2013, Huangshang, China.

Full text not available from this repository. (Request a copy)
Official URL:


Interactive image matting is a process that extracts a foreground object from an image based on limited user input. In this paper, we propose a novel interactive image matting algorithm named Perfect Snapping which is inspired by the presented method named Lazy Snapping technique. In the algorithm, the mean shift algorithm with a boundary confidence prior is introduced to efficiently pre-segment the original image into homogeneous regions (super-pixels) with precise boundary. Secondly, Gaussian Mixture Model (GMM) clustering algorithm is used to describe and to model the super-pixels. Finally, a Monte Carlo based Expectation Maximization (EM) algorithm is used to perform parametric learning of mixture model for priori knowledge. Experimental results indicate that the proposed algorithm can achieve higher matting quality with higher efficiency.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Interactive Image Matting, Mean Shift Algorithm, Lazy Snapping
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 16 Jun 2015 13:52
Last Modified: 13 Oct 2019 00:33

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics