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dc.contributor.authorLi, Kaien_US
dc.contributor.authorWang, Jueen_US
dc.contributor.authorLiu, Yebinen_US
dc.contributor.authorXu, Lien_US
dc.contributor.authorDai, Qionghaien_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:19:51Z
dc.date.available2016-10-11T05:19:51Z
dc.date.issued2016
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13020
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13020
dc.description.abstractIt is a challenging task for ordinary users to capture selfies with a good scene composition, given the limited freedom to position the camera. Creative hardware (e.g., selfie sticks) and software (e.g., panoramic selfie apps) solutions have been proposed to extend the background coverage of a selife, but to achieve a perfect composition on the spot when the selfie is captured remains to be difficult. In this paper, we propose a system that allows the user to shoot a selfie video by rotating the body first, then produce a final panoramic selfie image with user-guided scene composition as postprocessing. Our key technical contribution is a fully automatic, robust multi-frame segmentation and stitching framework that is tailored towards the special characteristics of selfie images. We analyze the sparse feature points and employ a spatial-temporal optimization for bilayer feature segmentation, which leads to more reliable background alignment than previous image stitching techniques. The sparse classification is then propagated to all pixels to create dense foreground masks for person-background composition. Finally, based on a user-selected foreground position, our system uses content-preserving warping to produce a panoramic seflie with minimal distortion to the face region. Experimental results show that our approach can reliably generate high quality panoramic selfies, while a simple combination of previous image stitching and segmentation approaches often fails.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectViewing Algorithms
dc.titleRe-Compositable Panoramic Selfie with Robust Multi-Frame Segmentation and Stitchingen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersImage Processing
dc.description.volume35
dc.description.number7
dc.identifier.doi10.1111/cgf.13020
dc.identifier.pages227-236


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