Abstract | ||
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Flash-no-flash imaging aims to combine ambient light images with details available in flash images. Flash can alter color intensities radically leading to changes in gradient directions and strengths, as well as natural shadows possibly being removed and new ones created. This makes flash-no-flash image pair alignment a challenging problem. In this paper, we present a new image registration method utilizing mutual information driven point matching accuracy refinement. For a phase correlation based method, accuracy improvement through the suggested point refinement was over 40 %. The new method also performed better than the reference methods SIFT and SURF by 3.0 and 9.1 % respectively in alignment accuracy. Visual inspection also confirmed that in several cases the proposed method succeeded in registering flash-no-flash image pairs where the tested reference methods failed. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-23687-7_37 | ACIVS |
Keywords | Field | DocType |
alignment accuracy,accuracy improvement,flash-no-flash image alignment,accuracy refinement,ambient light image,flash-no-flash image pair,new method,new image registration method,mutual information refinement,flash image,reference method | Image alignment,Computer vision,Scale-invariant feature transform,Point set registration,Visual inspection,Pattern recognition,Computer science,Mutual information,Artificial intelligence,Phase correlation,Image registration | Conference |
Volume | ISSN | Citations |
6915 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 24 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sami Varjo | 1 | 3 | 2.14 |
Jari Hannuksela | 2 | 121 | 13.36 |
Olli Silvén | 3 | 303 | 38.76 |
Sakari Alenius | 4 | 84 | 8.62 |