Resizing by symmetry-summarization

Huisi Wu*, Yu-Shuen Wang, Kun Chuan Feng, Tien Tsin Wong, Tong Yee Lee, Pheng Ann Heng


研究成果: Conference contribution同行評審

80 引文 斯高帕斯(Scopus)


Image resizing can be achieved more effectively if we have a better understanding of the image semantics. In this paper, we analyze the translational symmetry, which exists in many real-world images. By detecting the symmetric lattice in an image, we can summarize, instead of only distorting or cropping, the image content. This opens a new space for image resizing that allows us to manipulate, not only image pixels, but also the semantic cells in the lattice. As a general image contains both symmetry & non-symmetry regions and their natures are different, we propose to resize symmetry regions by summarization and non-symmetry region by warping. The difference in resizing strategy induces discontinuity at their shared boundary. We demonstrate how to reduce the artifact. To achieve practical resizing applications for general images, we developed a fast symmetry detection method that can detect multiple disjoint symmetry regions, even when the lattices are curved and perspectively viewed. Comparisons to state-of-the-art resizing techniques and a user study were conducted to validate the proposed method. Convincing visual results are shown to demonstrate its effectiveness.

主出版物標題Proceedings of ACM SIGGRAPH Asia 2010, SIGGRAPH Asia 2010
出版狀態Published - 1 12月 2010
事件ACM SIGGRAPH Asia 2010, SIGGRAPH Asia 2010 - Seoul, Korea, Republic of
持續時間: 15 12月 201018 12月 2010


ConferenceACM SIGGRAPH Asia 2010, SIGGRAPH Asia 2010
國家/地區Korea, Republic of


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