Water reflection recognition via minimizing reflection cost based on motion blur invariant moments

Zhong, Shenghua, Liu, Yan, Shao, Ling and Chung, Fu-lai (2011) Water reflection recognition via minimizing reflection cost based on motion blur invariant moments. In: ICMR '11 - International Conference on Multimedia Retrieval, 18th - 20th April 2011, Trento, Italy.

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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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	16 Jun 2015 15:09
Last Modified:	13 Oct 2019 00:31
URI:	http://nrl.northumbria.ac.uk/id/eprint/22970

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