Stella X. Yu : Papers / Google Scholar

Object-Specific Figure-Ground Segregation
Stella X. Yu and Jianbo Shi
IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin, 16-22 June 2003
Paper | Slides

We consider the problem of segmenting an image into foreground and background, with foreground containing solely objects of interest known a priori. We propose an integration model that incorporates both edge detection and object part detection results. It consists of two parallel processes: low-level pixel grouping and high-level patch grouping. We seek a solution that optimizes a joint grouping criterion in a reduced space enforced by grouping correspondence between pixels and patches. Using spectral graph partitioning, we show that a near global optimum can be found by solving a constrained eigenvalue problem. We report promising experimental results on a dataset of 15 objects under clutter and occlusion.

image segmentation, figure-ground, object recognition, graph partitioning, constrained optimization