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

Sheng Hua Zhong, Yan Liu, Ling Shao, Fu Lai Korris Chung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


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
Title of host publicationProceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11
Publication statusPublished - 4 Jul 2011
Event1st ACM International Conference on Multimedia Retrieval, ICMR'11 - Trento, Italy
Duration: 18 Apr 201120 Apr 2011


Conference1st ACM International Conference on Multimedia Retrieval, ICMR'11


  • imperfect symmetry
  • moment invariants
  • motion blur
  • reflection axis detection
  • water reflection

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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