Abstract | ||
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This paper presents a method for extrinsic camera calibration (estimation of camera rotation and translation matrices) from a sequence of images. It is assumed camera intrinsic matrix and distortion coefficients are known and fixed during the entire sequence. Performance of the presented method is evaluated on a number of multi-view stereo test datasets. Presented algorithm can be used as a first stage in a dense stereo reconstruction system. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-33564-8_16 | ICCVG |
Keywords | Field | DocType |
extrinsic camera calibration method,camera rotation,camera intrinsic matrix,distortion coefficient,dense stereo reconstruction system,multi-view stereo test datasets,translation matrix,entire sequence,presented algorithm,extrinsic camera calibration,performance evaluation | Computer vision,Epipolar geometry,Computer science,Bundle adjustment,Camera auto-calibration,Camera resectioning,Artificial intelligence,Camera matrix,Translation (geometry),Distortion,Pinhole camera model | Conference |
Volume | ISSN | Citations |
abs/1809.11073 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jacek Komorowski | 1 | 4 | 4.13 |
Przemysław Rokita | 2 | 5 | 2.46 |