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dc.contributor.authorNguyen, Chuong H.en_US
dc.contributor.authorNalbach, Oliveren_US
dc.contributor.authorRitschel, Tobiasen_US
dc.contributor.authorSeidel, Hans-Peteren_US
dc.contributor.editorOlga Sorkine-Hornung and Michael Wimmeren_US
dc.date.accessioned2015-04-16T07:43:43Z
dc.date.available2015-04-16T07:43:43Z
dc.date.issued2015en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12548en_US
dc.description.abstractWe propose a system to restrict the manipulation of shape and appearance in an image to a valid subspace which we learn from a collection of exemplar images. To this end, we automatically co-align a collection of images and learn a subspace model of shape and appearance using principal components. As finding perfect image correspondences for general images is not feasible, we build an approximate partial alignment and improve bad alignments leveraging other, more successful alignments. Our system allows the user to change appearance and shape in real-time and the result is ''projected'' onto the subspace of meaningful changes. The change in appearance and shape can either be locked or performed independently. Additional applications include suggestion of alternative shapes or appearance.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.4 [Computer Graphics]en_US
dc.subjectGraphics Utilitiesen_US
dc.subjectApplication packagesen_US
dc.titleGuiding Image Manipulations using Shape-appearance Subspaces from Co-alignment of Image Collectionsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.sectionheadersImage Collectionsen_US
dc.description.volume34en_US
dc.description.number2en_US
dc.identifier.doi10.1111/cgf.12548en_US
dc.identifier.pages143-154en_US


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