Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37572
Title: Water reflection recognition via minimizing reflection cost based on motion blur invariant moments
Authors: Zhong, S
Liu, Y 
Shao, L
Chung, FL 
Issue Date: 2001
Source: ICMR '11 Proceedings of the 1st ACM International Conference on Multimedia Retrieval, Italy, 17-20 April 2001, 5 How to cite?
Abstract: Water reflection, a kind of typical imperfect reflection symmetry problem, plays an important role in image content analysis. However, existing techniques of symmetry recognition cannot recognize water reflection images correctly because of the complex and various distortions caused by water wave. To address this difficulty, we construct a novel feature space which is composed of motion blur invariant moments. Moreover, we propose an efficient detection algorithm to determine the reflection axis in images with water reflection. By experimenting on real image dataset with different tasks, the proposed techniques demonstrate impressive results in the water reflection image classification, the reflection axis detection, and the retrieval of the images with water reflection.
URI: http://hdl.handle.net/10397/37572
ISBN: 978-1-4503-0336-1
DOI: 10.1145/1991996.1992001
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