会议专题

Interactive Object Extraction Using Hierarchical Graph Cuts

Foreground object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method by extending the graph cut approach is presented in this paper. The coarse-to-fine object segmentation method makes it efficiently to specify the main object and adjust the detail of object. The user interaction is simplified to drawing a rectangle around the desired object, followed by optional boundary editing. The coarse scale segmentation is performed on the basis of the initial interactive rectangle, the accurate boundary portrayal is performed at the finer scale. A pyramid structure provides a framework for the processing, and this hierarchical structure ensures rapid boundary mapping between pyramid levels. Experimental results on multiple kinds of color images show the effectiveness and convenience of the approach.

Yan Zhang Haohao Song Jian Gu Shengyang Yu Jie Yang

The Third Research Institute of Ministry of Public Security, Shanghai 200031, China Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240

国际会议

第十届中国虚拟现实年会

上海

英文

851-858

2010-10-20(万方平台首次上网日期,不代表论文的发表时间)