Seamless Video Stitching from Hand-held Camera Inputs

dc.contributor.authorLin, Kaimoen_US
dc.contributor.authorLiu, Shuaichengen_US
dc.contributor.authorCheong, Loong-Fahen_US
dc.contributor.authorZeng, Bingen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:38:59Z
dc.date.available2016-04-26T08:38:59Z
dc.date.issued2016en_US
dc.description.abstractImages/videos captured by portable devices (e.g., cellphones, DV cameras) often have limited fields of view. Image stitching, also referred to as mosaics or panorama, can produce a wide angle image by compositing several photographs together. Although various methods have been developed for image stitching in recent years, few works address the video stitching problem. In this paper, we present the first system to stitch videos captured by hand-held cameras. We first recover the 3D camera paths and a sparse set of 3D scene points using CoSLAM system, and densely reconstruct the 3D scene in the overlapping regions. Then, we generate a smooth virtual camera path, which stays in the middle of the original paths. Finally, the stitched video is synthesized along the virtual path as if it was taken from this new trajectory. The warping required for the stitching is obtained by optimizing over both temporal stability and alignment quality, while leveraging on 3D information at our disposal. The experiments show that our method can produce high quality stitching results for various challenging scenarios.en_US
dc.description.number2en_US
dc.description.sectionheadersVideoen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12848en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages479-487en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12848en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectViewing Algorithmsen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectStereoen_US
dc.titleSeamless Video Stitching from Hand-held Camera Inputsen_US
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