Please use this identifier to cite or link to this item:
|Title:||Framebreak: Dramatic image extrapolation by guided shift-maps||Authors:||Zhang, Y.
|Issue Date:||2013||Citation:||Zhang, Y., Xiao, J., Hays, J., Tan, P. (2013). Framebreak: Dramatic image extrapolation by guided shift-maps. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 1171-1178. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2013.155||Abstract:||We significantly extrapolate the field of view of a photograph by learning from a roughly aligned, wide-angle guide image of the same scene category. Our method can extrapolate typical photos into complete panoramas. The extrapolation problem is formulated in the shift-map image synthesis framework. We analyze the self-similarity of the guide image to generate a set of allowable local transformations and apply them to the input image. Our guided shift-map method reserves to the scene layout of the guide image when extrapolating a photograph. While conventional shift-map methods only support translations, this is not expressive enough to characterize the self-similarity of complex scenes. Therefore we additionally allow image transformations of rotation, scaling and reflection. To handle this increase in complexity, we introduce a hierarchical graph optimization method to choose the optimal transformation at each output pixel. We demonstrate our approach on a variety of indoor, outdoor, natural, and man-made scenes. © 2013 IEEE.||Source Title:||Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/70370||ISSN:||10636919||DOI:||10.1109/CVPR.2013.155|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 22, 2020
WEB OF SCIENCETM
checked on Jan 14, 2020
checked on Dec 29, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.