Man-made structure segmentation using gaussian procesess and wavelet features.
Date
2007
Authors
Zhou, H.
Suter, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the 14th IEEE International Conference on Image Processing, San Antonio, Texas, USA., 2007: pp.IV-349-IV-352
Statement of Responsibility
Hang Zhou and David Suter
Conference Name
IEEE International Conference on Image Processing (14th : 2007 : San Antonio, Texas)
Abstract
We apply Gaussian process classification (GPC) to man-made structure segmentation, treated as a two class problem. GPC is a discriminative approach, and thus focuses on modelling the posterior directly. It relaxes the strong assumption of conditional independence of the observed data (generally used in a generative model). In addition, wavelet transform features, which are effective in describing directional textures, are incorporated in the feature vector. Satisfactory results have been obtained which show the effectiveness of our approach.