Abstract | ||
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In this paper, we address the problem of registering a distorted image and a reference image of the same scene by estimating the camera motion that had caused the distortion. We simultaneously detect the regions of changes between the two images. We attend to the coalesced effect of rolling shutter and motion blur that occurs frequently in moving CMOS cameras. We first model a general image format... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TPAMI.2016.2630687 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Cameras,Three-dimensional displays,Distortion,Solid modeling,Sensor arrays,Kernel | Computer vision,Rolling shutter,Change detection,Pattern recognition,Computer science,Motion blur,Image formation,Artificial intelligence,Motion interpolation,Image restoration,Distortion,Image registration | Journal |
Volume | Issue | ISSN |
39 | 10 | 0162-8828 |
Citations | PageRank | References |
2 | 0.36 | 29 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vijay Rengarajan | 1 | 7 | 1.78 |
A. N. Rajagopalan | 2 | 1106 | 92.02 |
Rangarajan Aravind | 3 | 221 | 48.37 |
Guna Seetharaman | 4 | 584 | 44.59 |