Seamless Video Stitching from Hand-held Camera Inputs
Images/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 st...
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| Published in | Computer graphics forum Vol. 35; no. 2; pp. 479 - 487 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Blackwell Publishing Ltd
01.05.2016
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Images/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. |
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| AbstractList | Images/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. |
| Author | Liu, Shuaicheng Cheong, Loong-Fah Zeng, Bing Lin, Kaimo |
| Author_xml | – sequence: 1 givenname: Kaimo surname: Lin fullname: Lin, Kaimo organization: National University of Singapore – sequence: 2 givenname: Shuaicheng surname: Liu fullname: Liu, Shuaicheng organization: University of Electronic Science and Technology of China – sequence: 3 givenname: Loong-Fah surname: Cheong fullname: Cheong, Loong-Fah organization: National University of Singapore – sequence: 4 givenname: Bing surname: Zeng fullname: Zeng, Bing organization: University of Electronic Science and Technology of China |
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| Copyright | 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2016 The Eurographics Association and John Wiley & Sons Ltd. |
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| Snippet | Images/videos captured by portable devices (e.g., cellphones, DV cameras) often have limited fields of view. Image stitching, also referred to as mosaics or... |
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| SubjectTerms | Analysis Cameras Categories and Subject Descriptors (according to ACM CCS) Cellular telephones Devices Digital cameras Digital imaging I.3.3 [Computer Graphics]: Picture/Image Generation-Viewing Algorithms I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Stereo Image processing systems Stitching Studies Three dimensional Three dimensional imaging Trajectories Virtual cameras |
| Title | Seamless Video Stitching from Hand-held Camera Inputs |
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