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題名 Generating Ambiguous Figure-Ground Images
作者 Kuo, Ying-Miao;Chu, Hung-Kuo;Chi, Ming-Te;Lee, Ruen-Rone;Lee, Tong-Yee
紀明德
貢獻者 資科系
日期 2017
上傳時間 11-四月-2016 14:39:41 (UTC+8)
摘要 Ambiguous figure-ground images, mostly represented as binary images, are fascinating as they present viewers a visual phenomena of perceiving multiple interpretations from a single image. In one possible interpretation, the white region is seen as a foreground figure while the black region is treated as shapeless background. Such perception can reverse instantly at any moment. In this paper, we investigate the theory behind this ambiguous perception and present an automatic algorithm to generate such images. We model the problem as a binary image composition using two object contours and approach it through a three-stage pipeline. The algorithm first performs a partial shape matching to find a good partial contour matching between objects. This matching is based on a content-aware shape matching metric, which captures features of ambiguous figure-ground images. Then we combine matched contours into a compound contour using an adaptive contour deformation, followed by computing an optimal cropping window and image binarization for the compound contour that maximize the completeness of object contours in the final composition. We have tested our system using a wide range of input objects and generated a large number of convincing examples with or without user guidance. The efficiency of our system and quality of results are verified through an extensive experimental study.
關聯 IEEE Transactions on Visualization and Computer Graphics, Volume 23 Issue 5 ,Page 1534 - 1545
資料類型 article
DOI http://dx.doi.org/10.1109/TVCG.2016.2535331
dc.contributor 資科系-
dc.creator (作者) Kuo, Ying-Miao;Chu, Hung-Kuo;Chi, Ming-Te;Lee, Ruen-Rone;Lee, Tong-Yee-
dc.creator (作者) 紀明德zh_TW
dc.date (日期) 2017-
dc.date.accessioned 11-四月-2016 14:39:41 (UTC+8)-
dc.date.available 11-四月-2016 14:39:41 (UTC+8)-
dc.date.issued (上傳時間) 11-四月-2016 14:39:41 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/84104-
dc.description.abstract (摘要) Ambiguous figure-ground images, mostly represented as binary images, are fascinating as they present viewers a visual phenomena of perceiving multiple interpretations from a single image. In one possible interpretation, the white region is seen as a foreground figure while the black region is treated as shapeless background. Such perception can reverse instantly at any moment. In this paper, we investigate the theory behind this ambiguous perception and present an automatic algorithm to generate such images. We model the problem as a binary image composition using two object contours and approach it through a three-stage pipeline. The algorithm first performs a partial shape matching to find a good partial contour matching between objects. This matching is based on a content-aware shape matching metric, which captures features of ambiguous figure-ground images. Then we combine matched contours into a compound contour using an adaptive contour deformation, followed by computing an optimal cropping window and image binarization for the compound contour that maximize the completeness of object contours in the final composition. We have tested our system using a wide range of input objects and generated a large number of convincing examples with or without user guidance. The efficiency of our system and quality of results are verified through an extensive experimental study.-
dc.format.extent 130 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) IEEE Transactions on Visualization and Computer Graphics, Volume 23 Issue 5 ,Page 1534 - 1545-
dc.title (題名) Generating Ambiguous Figure-Ground Images-
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1109/TVCG.2016.2535331-
dc.doi.uri (DOI) http://dx.doi.org/10.1109/TVCG.2016.2535331-