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

Shenghua Zhong, Yan Liu, Ling Shao, Fu-lai Chung

Research output: Contribution to conferencePaper

4 Citations (Scopus)

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.
Original languageEnglish
DOIs
Publication statusPublished - Oct 2011
EventICMR '11 - International Conference on Multimedia Retrieval - Trento, Italy
Duration: 1 Oct 2011 → …

Conference

ConferenceICMR '11 - International Conference on Multimedia Retrieval
Period1/10/11 → …

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