Locally Non-rigid Registration for Mobile HDR Photography

April 07, 2015 Β· Declared Dead Β· πŸ› 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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Authors Orazio Gallo, Alejandro Troccoli, Jun Hu, Kari Pulli, Jan Kautz arXiv ID 1504.01441 Category cs.CV: Computer Vision Citations 50 Venue 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Last Checked 4 months ago
Abstract
Image registration for stack-based HDR photography is challenging. If not properly accounted for, camera motion and scene changes result in artifacts in the composite image. Unfortunately, existing methods to address this problem are either accurate, but too slow for mobile devices, or fast, but prone to failing. We propose a method that fills this void: our approach is extremely fast---under 700ms on a commercial tablet for a pair of 5MP images---and prevents the artifacts that arise from insufficient registration quality.
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