SIFT Flow: Dense Correspondence across Scenes and its Applications

While image alignment has been studied in different areas of computer vision for decades, aligning images depicting different scenes remains a challenging problem. Analogous to optical flow, where an image is aligned to its temporally adjacent frame, we propose SIFT flow, a method to align an image...

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Bibliographic Details
Main Authors: Liu, Ce (Author), Yuen, Jenny (Contributor), Torralba, Antonio (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers / IEEE Computer Society, 2011-03-28T18:42:05Z.
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